{"id":3488,"date":"2023-09-20T05:50:48","date_gmt":"2023-09-20T00:20:48","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2023\/?page_id=3488"},"modified":"2023-09-20T05:51:03","modified_gmt":"2023-09-20T00:21:03","slug":"accepted-paper-research-track","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2023\/accepted-paper-research-track\/","title":{"rendered":"Accepted Paper Research Track"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.19.5&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;gcid-1bcf785a-50e1-437b-b09f-65567babc1de&#8221; background_image=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/grid-bg-2.png&#8221; background_size=&#8221;initial&#8221; background_position=&#8221;bottom_center&#8221; background_repeat=&#8221;repeat&#8221; custom_padding=&#8221;||0px|||&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{%22gcid-1bcf785a-50e1-437b-b09f-65567babc1de%22:%91%22background_color%22%93}&#8221;][et_pb_row _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.19.2&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;7f63b212-a10a-4d30-afa2-e478a747ca88&#8243; custom_margin=&#8221;||10px||false|false&#8221; hover_enabled=&#8221;0&#8243; header_2_font_size_phone=&#8221;33px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2>Research Track Accepted Paper<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Features&#8221; module_id=&#8221;about&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#dbdbdb&#8221; background_image=&#8221;https:\/\/www.aimlsystems.org\/2023\/wp-content\/uploads\/2023\/05\/rm380-10.jpg&#8221; background_blend=&#8221;overlay&#8221; custom_padding=&#8221;3.9%||||false|false&#8221; use_background_color_gradient_phone=&#8221;on&#8221; background_color_gradient_stops_phone=&#8221;#001528 0%|rgba(255, 255, 255, 0) 10%|rgba(255,255,255,0) 70%|#0f0122 100%&#8221; collapsed=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px||43px|||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;1.\tLiBERTy: A Novel Model for Natural Language Understanding &#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Onkar Susladkar (IIT Roorkee); Gayatri s Deshmukh (Vishwakarma Institute of Information Technology); Sparsh Mittal (IIT Roorkee)*; Sai Chandra Teja R (Independent Researcher); Rekha Singhal (TCS)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;2.\tDesign-Space Exploration of Systolic Array for Edge Inferencing Applications&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Prashanth H C (International Institute of Information Technology Bangalore)*; Yash Dharmesh Mogal (International Institute of Information Technology Bangalore); Madhav Rao (International Institute of information Technology, Bangalore)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;3.\tTinyML-Driven On-Device Personalized Human Activity Recognition and Auto-Deployment to Smart Bands&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Bidyut Saha (Indian Institute of Technology Kharagpur)*; Riya Samanta (Indian Institute of Technology, Kharagpur); Soumya Kanti Ghosh (Indian Institute of Technology Kharagpur, India); Ram Babu Roy (Indian Institute of Technology Kharagpur )<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;\t4.\tManaged Bidirectional Charging of Electric Fleets with Arbitrage&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Kshitij Garg (TCS Research); Prasant Misra (TCS Research)*; Yogesh Bichpuriya (Industry Researcher); Arunchandar Vasan (TCS Research)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;5.\tSoil Moisture Prediction Using Deep Learning on Hyperspectral Data&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Sourav Seal (Delhi Technological University)*; Divyashikha Sethia (Delhi Technological University)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;6.\tInvestigating the changes in BOLD responses during viewing of images with varied complexity: An fMRI time-series based analysis on human vision&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Naveen Kanigiri (International Institute of Information Technology Bangalore); Manohar Suggula (International Institute of Information Technology Bangalore); Debanjali Bhattacharya (International Institute of Information Technology Bangalore)*; Neelam Sinha (International Institute of Information Technology)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;7.\tPredicting Depth of Anesthesia using EEG Signals and Deep Convolution Network&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> NEERAJ KUMAR SHARMA (Ram Lal Anand College, University of Delhi)*; Sakeena Shahid (Sri Guru Tegh Bahadur Khalsa College, University of Delhi); Subodh Kumar (Department of Computer Science, University of Delhi); Sanjeev Sharma (Department of Anesthesia, A.B.V.I.M.S &amp; R.M.L Hospital); Rakesh Kumar Gupta (Ram Lal Anand College, University of Delhi); Naveen Kumar (University of Delhi)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;8.\tSecureFrameNet:A rich computing capable secure framework for deploying neural network models on edge protected system.&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Renju C Nair (International Institute of information Technology, Bangalore)*; Madhav Rao (International Institute of information Technology, Bangalore); Muralidhara V N (IIIT Bangalore)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;9.\tUnveiling User Influence: An Adaptive Algorithm for Socialness Estimation through User-Reply Semantics&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Vikram Singh (Computer Engineering Dept.,National Institute of Technology, Kurukshetra, Haryana-136119, India)*; Devanand Gamboir (Computer Engineering Dept.,National Institute of Technology, Kurukshetra, Haryana-136119, India )<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;10. CAMOT: Content Aware Multi Object Tracking&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Ratul Kishore Saha (Tata Consultancy Services)*; Rekha Singhal (TCS); Manoj Nambiar (TCS)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;11.\tTIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Luca Colombo (Politecnico di Milano)*; Alessandro Falcetta (Politecnico di Milano); Manuel Roveri (Politecnico di Milano)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;12.\tYOLOv7-DocInstSeg: Efficient Instance Segmentation Framework for Document Analysis and Recognition&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Vamshi Krishna Kancharla (IIIT Bangalore college)*; Neelam Sinha (International Institute of Information Technology)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;13.\tPerceptually-Inspired Local Source Normalization for Adversarial Robustness&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Archana Ramachandran (Indian Institute of Technology Hyderabad)*; Sumohana S. Channappayya (IIT Hyderabad)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;14.\tLeveraging Uncertainty for Credit Risk Estimation and Reliable Predictions in lending decision making&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Akash Mondal (American Express)*; Saradindu Kar (American Express); Akash Mondal (American Express)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;15.\tExploring Causality Aware Data Synthesis&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Soma Bandyopadhyay (Tata Consultancy Services)*; Sudeshna Sarkar (IIT Kharagpur)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;16.\tImproved Sequence Predictions using Knowledge Graph Embedding for Large Language Models&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Rabina Khatun (Dr. B.C.Roy Engineering College); Nilanjan Sinhababu (Indian Institute of Technology Kharagpur)*<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;17.\tSplitEE: Early Exit in Deep Neural Networks  with Split Computing&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Divya Jyoti Bajpai (Indian Institute of Technology Bombay); Vivek Kumar Trivedi (Indian Institute of Technology Bombay ); Sohan L Yadav (Indian Institute of Technology, Bombay); Manjesh Kumar Hanawal (IIT Bombay)*<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;18.\tBinary Convolutional Neural Network for Efficient Gesture Recognition at Edge&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Jayeeta Mondal (TCS Research); Swarnava Dey (TCS Research, Tata Consultancy Services Ltd.); Arijit Mukherjee (TCS Research)*<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;19.\tDesigning a Bare Minimum Face Recognition Architecture for Bare Metal Edge Devices: An Experience Report&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Swarnava Dey (TCS Research, Tata Consultancy Services Ltd.)*<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;20.\tMobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Zitha Sasindran (Indian Institute of Science)*; Harsha Yelchuri (Information Science Engineering RV College of Engineering Bengaluru, India); Prabhakar Venkata Tamma (Electronics Systems Engg); Pooja Rao (IISc)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;21.\tModel Uncertainty based Active Learning on Tabular Data using Boosted Trees&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Sharath M Shankaranarayana (Ericsson)*<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=&#8221;#f7f7f7&#8243; icon_color=&#8221;#0C71C3&#8243; use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;||14px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;bottom&#8221; animation_intensity_slide=&#8221;18%&#8221; hover_enabled=&#8221;0&#8243; border_radii=&#8221;on|30px|30px|30px|30px&#8221; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][et_pb_accordion_item title=&#8221;22.\tHetero-Rec++: Modelling-based Robust and Optimal Deployment of Embeddings Recommendations&#8221; open=&#8221;on&#8221; _builder_version=&#8221;4.21.0&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<p><strong>Authors:<\/strong> Ashwin Krishnan (TCS Research)*; Manoj Nambiar (TCS); Rekha Singhal (TCS)<\/p>\n<p>[\/et_pb_accordion_item][\/et_pb_accordion][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Research Track Accepted PaperAuthors: Onkar Susladkar (IIT Roorkee); Gayatri s Deshmukh (Vishwakarma Institute of Information Technology); Sparsh Mittal (IIT Roorkee)*; Sai Chandra Teja R (Independent Researcher); Rekha Singhal (TCS)Authors: Prashanth H C (International Institute of Information Technology Bangalore)*; Yash Dharmesh Mogal (International Institute of Information Technology Bangalore); Madhav Rao (International Institute of information Technology, Bangalore)Authors: [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<!-- wp:paragraph -->\n<p>This is an example page. It's different from a blog post because it will stay in one place and will show up in your site navigation (in most themes). Most people start with an About page that introduces them to potential site visitors. It might say something like this:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\"><!-- wp:paragraph -->\n<p>Hi there! I'm a bike messenger by day, aspiring actor by night, and this is my website. I live in Los Angeles, have a great dog named Jack, and I like pi\u00f1a coladas. (And gettin' caught in the rain.)<\/p>\n<!-- \/wp:paragraph --><\/blockquote>\n<!-- \/wp:quote -->\n\n<!-- wp:paragraph -->\n<p>...or something like this:<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:quote -->\n<blockquote class=\"wp-block-quote\"><!-- wp:paragraph -->\n<p>The XYZ Doohickey Company was founded in 1971, and has been providing quality doohickeys to the public ever since. Located in Gotham City, XYZ employs over 2,000 people and does all kinds of awesome things for the Gotham community.<\/p>\n<!-- \/wp:paragraph --><\/blockquote>\n<!-- \/wp:quote -->\n\n<!-- wp:paragraph -->\n<p>As a new WordPress user, you should go to <a href=\"https:\/\/www.aimlsystems.org\/2023\/wp-admin\/\">your dashboard<\/a> to delete this page and create new pages for your content. Have fun!<\/p>\n<!-- \/wp:paragraph -->","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-3488","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages\/3488","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/comments?post=3488"}],"version-history":[{"count":2,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages\/3488\/revisions"}],"predecessor-version":[{"id":3491,"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/pages\/3488\/revisions\/3491"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2023\/wp-json\/wp\/v2\/media?parent=3488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}