{"id":987495769,"date":"2025-09-16T20:17:29","date_gmt":"2025-09-16T20:17:29","guid":{"rendered":"https:\/\/icedge.org\/2025\/?page_id=987495769"},"modified":"2025-11-20T13:42:41","modified_gmt":"2025-11-20T13:42:41","slug":"list-of-accepted-papers","status":"publish","type":"page","link":"https:\/\/icedge.org\/2025\/list-of-accepted-papers\/","title":{"rendered":"List of Accepted Papers"},"content":{"rendered":"<body><p>[et_pb_section fb_built=\u201d1\u2033 fullwidth=\u201don\u201d _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d background_image=\u201dhttps:\/\/icedge.org\/2025\/wp-content\/uploads\/2025\/04\/website-hosting-concept-with-circuits.jpg\u201d locked=\u201doff\u201d global_colors_info=\u201d{}\u201d][et_pb_fullwidth_post_title meta=\u201doff\u201d force_fullwidth=\u201doff\u201d _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d title_font=\u201d|||on|||||\u201d title_text_color=\u201d#FFFFFF\u201d title_font_size=\u201d30px\u201d use_background_color_gradient=\u201don\u201d background_color_gradient_direction=\u201d90deg\u201d background_color_gradient_stops=\u201d#000000 23%|rgba(255,255,255,0) 100%\u201d background_enable_image=\u201doff\u201d background_blend=\u201dmultiply\u201d width=\u201d100%\u201d max_width=\u201d80%\u201d module_alignment=\u201dleft\u201d min_height=\u201d200px\u201d custom_margin=\u201d||||false|false\u201d custom_padding=\u201d||||false|false\u201d global_colors_info=\u201d{}\u201d][\/et_pb_fullwidth_post_title][\/et_pb_section][et_pb_section fb_built=\u201d1\u2033 _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_row _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_column type=\u201d4_4\u2033 _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_image _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_column type=\u201d4_4\u2033 _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_text _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d text_orientation=\u201djustified\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<p>ALL PAPERS (6+1 pages, last page only for references) WILL BE A PART OF THE IEEE PROCEEDINGS, PROVIDED THAT THE PAPER IS PRESENTED AT THE CONFERENCE (Lecture\/Poster), AND THE CAMERA-READY VERSION IS SUBMITTED.<strong><\/strong><\/p>\n<p><strong><\/strong><\/p>\n<p><strong>List of Papers Accepted for Lecture Presentations:<\/strong><\/p>\n<ul>\n<li>\n<p><strong>(Best Paper Candidate)<\/strong> 52: SRAS: A Lightweight Reinforcement Learning-based Document Selector for Edge-Native RAG Pipelines<\/p>\n<\/li>\n<li>\n<p>75: Steganographic Blockchain for Covert Communication: Hashing Tactical Data in Noisy Channels with TinyML<\/p>\n<\/li>\n<li>\n<p>89: ML Based Predictive Maintenance Of Electric Power Distribution Transformer<\/p>\n<\/li>\n<li>\n<p>97: Optimizing IoT Task Scheduling in Fog-Cloud Architecture Using Squirrel Search Algorithm<\/p>\n<\/li>\n<li>\n<p><strong>(Best Paper Candidate)<\/strong> 102: Track Binary vs. Multi-bit Quantization Error Tolerance, an Input-Conditioned Perspective2<\/p>\n<\/li>\n<li>\n<p>122: Practical Challenges in Applying QAT to RNN Models<\/p>\n<\/li>\n<li>\n<p><strong>(Best Paper Candidate)<\/strong> 126: Optimizing DNN Mapping on NoC-Based FPGA Accelerators Using Proximal Policy Optimization<\/p>\n<\/li>\n<li>\n<p>133: A Multi-Model Approach for Burglary Detection at the Edge using Low Cost SBCs<\/p>\n<\/li>\n<li>\n<p>134: Quantum-Inspired Neuromorphic Simulation of Action Potentials via Semiconductor-Ion Channel Interfaces at the Edge<\/p>\n<\/li>\n<li>\n<p>144: Real-Time Non-Contact Soil Moisture Estimation Using Machine Learning at the Edge<\/p>\n<\/li>\n<li>\n<p><strong style=\"font-size: 16px;\">(Best Paper Candidate) <\/strong><span style=\"font-size: 16px;\">156: Edge-Based Object Classification Using mmWave Radar on Qualcomm Innovators Development Kit<\/span><\/p>\n<\/li>\n<li>\n<p>158: The Fact of the MATTER: Efficient Hardware Accelerators for Wide-Block Memory Encryption<\/p>\n<\/li>\n<li>\n<p><strong>(Best Paper Candidate)<\/strong> 160: SecureInfer: Heterogeneous TEE-GPU Architecture for Privacy-Critical Tensors for Large Language Model Deployment<\/p>\n<\/li>\n<li>\n<p>161: Design of a Programmable Linear Frequency Modulator for Triangular Chirp Synthesis in Edge and AIoT Applications<\/p>\n<\/li>\n<li>\n<p>163: PERCIF: A Power-Efficient Reverse Carry Propagate Adder for FPGA-based Image Filtering<\/p>\n<\/li>\n<li><strong>(Best Paper Candidate)<\/strong> 164: Design of Efficient and Configurable Accelerators for Cryptography with Montgomery Safe Curves<\/li>\n<li>\n<p>165: Trust-Aware Game-Theoretic Allocation for Secure and Efficient IoT-Edge Systems<\/p>\n<\/li>\n<li>\n<p>177: A Dual-Approach Intrusion Detection System for IoT: Comparative Insights from XGBoost and K-Means Clustering<\/p>\n<\/li>\n<li>\n<p>184: Design of a Blockchain-Driven Quantum Identity Model Using QHA-AC FQET and RL-QIDA Methods in Cloud Microservices<\/p>\n<\/li>\n<li>\n<p>186: Quantum Roots of Trust: Hardware Anchors for\u00a0 Post-Quantum Security<\/p>\n<\/li>\n<li>\n<p>198: PWLF: A Robust Weighted Late Multimodal Fusion Approac<\/p>\n<\/li>\n<\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_column type=\u201d4_4\u2033 _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d global_colors_info=\u201d{}\u201d][et_pb_text _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d text_orientation=\u201djustified\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<p><strong>List of Papers Accepted for Poster Presentations:<\/strong><\/p>\n<ul>\n<li>\n<p>41: Hybrid Visual-Sensor Fusion for AI-Guided Urban Traffic Flow Adjustment<\/p>\n<\/li>\n<li>\n<p>55: PROOF: Predetermined Signature-based On-chip Online Rowhammer Bit-Flip Detection<\/p>\n<\/li>\n<li>\n<p>62: ChaosLock: Edge-Friendly Chaotic Encryption of Digital Images for IoT Systems<\/p>\n<\/li>\n<li>\n<p>64: Empowering mobility: IoT Enabled Automated Healthcare System For Paralysis Patient<\/p>\n<\/li>\n<li>65: Performance Analysis of Schottky-CMOS Standard Cells<\/li>\n<li>74: Web-Integrated Audio Communication Using HTTP, SMTP, And Ethernet Protocols With FPGA-Based Audio Receiver<\/li>\n<li>\n<p>83: Advancements in Non-Invasive Sleep Apnea Detection: A Comprehensive Survey of Machine Learning and Computing Approaches for OSAS Diagnosis<\/p>\n<\/li>\n<li>\n<p>90: Smart Scale Food Analysis For Stage 1 Cancer Patients<\/p>\n<\/li>\n<li>\n<p>92: ONNX-C Deployment of Neural Network Controller on Resource Constrained Microcontroller for Intermediate Bus Converter<\/p>\n<\/li>\n<li>\n<p>106: Cloud-Based Adaptive Detection Framework for\u00a0 IIoT Networks using Machine Learning Techniques<\/p>\n<\/li>\n<li>\n<p>109: DuDAB: A Dual-Staged, Lightweight Detection Methodology for Adversarial Attacks in a Black-Box Setting<\/p>\n<\/li>\n<li>\n<p>127: FloPWD: A Novel UAV-Based Dataset and Lightweight Segmentation Model for Real-Time Edge Deployment<\/p>\n<\/li>\n<li>\n<p>128: Detection of DNS over HTTPS Tunneling Attacks in Smart Home IoT Devices through Optimized Feature Analysis<\/p>\n<\/li>\n<li>135: Cost-Effective Biomimicking Quadruped Robot for STEM Education<\/li>\n<li><span style=\"font-size: 16px;\">141: Implementation of Bitwise Logic Operations using 8T SRAM Cells for In-Memory Computation<\/span><\/li>\n<li>\n<p>157: Embedded AI Platform for Respiratory Auscultation in Resource Constrained Clinical Environments<\/p>\n<\/li>\n<li>\n<p>181: Integrated Resource Localization, Navigation &amp; Visualization<\/p>\n<\/li>\n<li>\n<p>194: ECOWAVE \u2013 An Autonomous and Sustainable System for Water Hyacinth Detection, Collection, and Biomass Utilization<\/p>\n<\/li>\n<\/ul>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u201d4.27.4\u2033 _module_preset=\u201ddefault\u201d text_orientation=\u201djustified\u201d global_colors_info=\u201d{}\u201d]<\/p>\n<p><strong>List of Special Session Papers:<\/strong><\/p>\n<ul>\n<li>215: One Bit-flip Away from Collapse: Security and Safety in AI Models and Accelerators<\/li>\n<li>232: Hyena and Kolmogorov\u2013Arnold Networks on NPUs: Towards Efficient Acceleration<\/li>\n<li>239: Lose All Weights: Defense against Bit Flip Attack on Weights using SAT-Based Neural Networks<\/li>\n<li>242: From Devices to Edge Intelligence: Band-to-Band Tunneling-Based Energy and Area-Efficient Neuromorphic Hardware<\/li>\n<li>243: Temperature-Robust Frequency-Encoded Spintronic Oscillatory Neural Networks for Energy-Efficient Edge AI<\/li>\n<li>244: Devices, Synthesis, Circuits, and Verification for Resistive RAM-Based Digital Computing-in-Memory<\/li>\n<li>246: Variation-Tolerant Hardware synthesis of Spiking neural networks<\/li>\n<li>247: Edge-Private Spiking Graph Convolutional Learning: Membership Inference and Structural Differential Privacy<\/li>\n<li>255: Scaling Equilibrium Propagation to Deeper Neural Network Architectures<\/li>\n<li>259: Resource-Efficient Compressive Plane-Wave Ultrasound Imaging for Edge Devices<\/li>\n<li>260: Low-Latency Neuromorphic Vision Systems: From Sparse SNNs to In-Sensor Computing &amp; Agentic AI<\/li>\n<li>261: Optimizing VGG16 Model via Quantization for Edge Computing Applications<\/li>\n<li>262: ProbCIMs: Compute-in-Memory Paradigms for Robust and Efficient Probabilistic Computing &amp; AI<\/li>\n<li>263: Neuromorphic Computing using Nonvolatile Memory Devices: A Case Study<\/li>\n<li>296: Cascading Bandits With Feedback<\/li>\n<li>428: An Integrated, Multi-Modular Sensing Platform for Monitoring Human Performance in Industrial Environments: A Conceptual Framework<\/li>\n<\/ul>\n<ol><\/ol>\n<ul><\/ul>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n<\/body>","protected":false},"excerpt":{"rendered":"<p>ALL PAPERS (6+1 pages, last page only for references) WILL BE A PART OF THE IEEE PROCEEDINGS, PROVIDED THAT THE PAPER IS PRESENTED AT THE CONFERENCE (Lecture\/Poster), AND THE CAMERA-READY VERSION IS SUBMITTED. List of Papers Accepted for Lecture Presentations: (Best Paper Candidate) 52: SRAS: A Lightweight Reinforcement Learning-based Document Selector for Edge-Native RAG Pipelines [&hellip;]<\/p>\n","protected":false},"author":2,"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":"","_et_gb_content_width":"","om_disable_all_campaigns":false,"footnotes":""},"class_list":["post-987495769","page","type-page","status-publish","hentry"],"_hostinger_reach_plugin_has_subscription_block":false,"_hostinger_reach_plugin_is_elementor":false,"_links":{"self":[{"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/pages\/987495769","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/comments?post=987495769"}],"version-history":[{"count":4,"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/pages\/987495769\/revisions"}],"predecessor-version":[{"id":987495966,"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/pages\/987495769\/revisions\/987495966"}],"wp:attachment":[{"href":"https:\/\/icedge.org\/2025\/wp-json\/wp\/v2\/media?parent=987495769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}