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ORCIDCOINS 2025: Madison, WI, USA
- IEEE International Conference on Omni-layer Intelligent Systems, COINS 2025, Madison, WI, USA, August 4-6, 2025. IEEE 2025, ISBN 979-8-3315-2037-3
- Ayesha Noshin, Yagna Manasa Boyapati, Maggie Beach, Arshia Khan:
Cognitive Reserve Measurement: A Mobile Application and a Framework for Detecting, Monitoring and Enhancing Cognitive Resilience. 1-5 - Nowfel Mashnoor, Mohammad Akyash, Hadi Mardani Kamali, Kimia Zamiri Azar:
TimelyHLS: LLM-Based Timing-Aware and Architecture-Specific FPGA HLS Optimization. 1-6 - Aishneet Juneja, Matthew Grenier, Md Hasibul Amin, Ramtin Zand:
Accelerating Hardware-Aware NAS with ML-Based Edge GPU Performance Modeling. 1-6 - Anwar Said, Waseem Abbas, Xenofon D. Koutsoukos:
PropEnc: A Property Encoder for Graph Neural Networks. 1-7 - Ankit Ahirwar, Sumit K. Mandal:
CATALYSE: Communication-aware Task Mapping for DNNs on Multicore Systems at Edge. 1-8 - Ritesh Honnalli, Junaid Farooq:
Multimodal LLM-Guided Sequential Detection of Cyber Threats in Electric Vehicle Charging Systems. 1-6 - William Brach, Adam Novocký, Jakub Jelínek, Kristián Kostál, Michal Ries:
LANTNER - Large Language Models for Novel Tasks Annotation in Named Entity Recognition. 1-5 - Hritom Das, Mario Renteria-Pinon, Na Gong, Jianqing Liu:
Privacy by Design via Novel Memory Technologies. 1-7 - Farzaneh Rabiei Kashanaki, Mark Zakharov, Jose Renau:
Beyond Verilog: Agents for Emerging HDLs. 1-7 - Carmen A. Haseltine, Laura A. Albert:
Cybersecurity threat modeling for small modular reactor stations. 1-6 - Mohammed Abdul Nadeem:
Optimizing Fairness in Machine Learning: A Hyperparameter Tuning Approach. 1-5 - Inês Rito Lima, Yukie Nagai, José Santos-Victor:
AI-Driven Anticipation of Vehicle Drift Dynamics. 1-7 - Arghadip Das, Yatharth Agarwal, Chunguang Wang, Arnab Raha, Sandeep Krishna Thirumala, Sumeet Kumar Gupta, Vijay Raghunathan:
PRISM: Toward Energy-Efficient AIoT with Processing-In-Sensor+Memory in Battery-Free Devices. 1-6 - Sanjay Das, Shamik Kundu, Sumit Kumar Mandal, Kanad Basu:
CONCEAL: Covert NoC Exploitation in In-Memory Computing-based DNN Accelerators. 1-7 - Siyu Qiu, Muzhi Wang, Raheel Afsharmazayejani, Mohammad Moradi Shahmiri, Benjamin Tan, Hammond Pearce:
Towards LLM-based Root Cause Analysis of Hardware Design Failures. 1-6 - Sri Sai Rakesh Nakkilla, Aniruddha Datta, Ashish Reddy Bommana, Jeff Zhang, Farshad Firouzi, Krishnendu Chakrabarty:
LiM Pruner: Efficient Pruning for Large Language-in-Memory Models. 1-7 - John Forde, Mustafa Shuqair
, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Multi-channel Time-series Transformer for Wearable Monitoring of Rigidity in Parkinson's Disease. 1-6 - Marta Iovino, Marlis Ontivero-Ortega, Chiara Barà, Sebastiano Stramaglia, Michal Javorka, Riccardo Pernice, Luca Faes:
Assessing Feature Importance in Cardiovascular Variability for the Classification of Physiological Stress. 1-6 - Kun-Chih Chen, Yi-Sheng Liao, Wei-Ren Syu, Hus-Chi Chen, Pin-Ching Shen:
An Arbitrary Kernel Size Applicable Universal Flexible-Oriented Network on Chip (UFONoC) Neural Network Accelerator with AXI4-stream Data Transmission Protocol. 1-6 - Florenc Demrozi, Fadi Al Machot:
Few-Shot Learning for Hand-Based Micro Activity Recognition. 1-6 - Ankur Singh, Subhradip Chakraborty, Zihan Yin, Akhilesh Jaiswal:
Memristor-Assisted Secure SRAM Architectures for Protection Against Data Imprinting Attacks. 1-6 - Aniruddha Datta, Tamonash Bhattacharyya, Elahe Khatibi, Agasthya Seth, Ziyu Wang, Sanaz R. Mousavi, Amir M. Rahmani, Farshad Firouzi, Krishnendu Chakrabarty:
REACT: REinforcement Learning-Based Adaptive ECG Anonymization and Privacy Threat Mitigation*. 1-8 - Deniz Najafi, Wanhao Yu, Mehrdad Morsali, Pietro Mercati, Mohsen Imani, Mahdi Nikdast, Li Yang, Shaahin Angizi:
Dyna-Optics: Architecting a Channel-Adaptive DNN Near-Sensor Optical Accelerator for Dynamic Inference. 1-7 - Matthew DeLorenzo, Phat Tieu, Chen Chen, Vasudev Gohil, Jeyavijayan Rajendran:
Watermarking LLMs - Challenges and Opportunities in Electronic Design Automation. 1-4 - Victor Luo:
Design of Al-Driven Modular Snake Robot with Active Skin Enhanced Mobility. 1-6 - Christoph Groß, Oliver Bringmann:
Optimizing Decentralized Local Energy Trading: Enhancing Scalability and Storage Efficiency through DAG Pruning and Smart Contract Optimization. 1-7 - Aref Dorahaki, Mohamadreza Khanmohamadi, Bahar Farahani:
InSureNet: A Graph Transformer Network Approach for Health Insurance Fraud Detection. 1-6 - Jonti Talukdar, Sanmitra Banerjee, Farshad Firouzi:
LLM-Sec: Closing the Security Loop using LLMs for Hardware Design. 1-6 - Divake Kumar, Sina Tayebati, Nastaran Darabi, Vita Pi-Ho Hu, Amit Ranjan Trivedi:
Uncertainty-Aware LiDAR-Camera Autonomy via Conformal Prediction and Principled Abstention. 1-6 - Kushal Sri Rangam, Punam Ram Pukale, Shounak Palnitkar Jitendra, Dongbin Lee, Jinzhu Gao:
Smart Hat 2.0: An Energy-Aware Wearable Navigation System for Visually Impaired. 1-6 - Cong Hu, Ningge Ding, Huimin Fang, Yujia Zhai, Pengfei Yu, Fan Zhang:
Power Edge Node Resource Scheduling Mechanism Empowered by Deep Reinforcement Learning. 1-6 - Manish Vikrama, Monitha Davuluri, Rashida Hasan:
An Adaptive and Unsupervised Graph-based Approach for Fake News Detection. 1-6 - Uwe A. Kuehn:
A Decentralized IoT Payment Service for Digital Currencies. 1-4 - Satoshi Okada, Takuho Mitsunaga:
Practical Adversarial Attacks on Industrial AI: Evaluating Camera Sticker Techniques with MVTec AD. 1-7 - Sahibzada Saadoon Hammad, Sergio Trilles:
Context-Aware Multi-Step Imputation for Univariate Temperature Time Series Using BiLSTM. 1-6 - Zerui Wang, Vincent X. Z. Kwok, Kenneth Y. T. Lim:
Lightweight Inertial Guidance and Mapping Algorithm. 1-6 - Rosolino Alaimo, Ilenia Tinnirello, Domenico Garlisi:
Exploiting DCI Leakage: A Stealthy 5G Uplink Jamming Attack Using Compromised UE. 1-6 - Yin-Ching Lee, Sebastiano Mengozzi, Luca Zanatta, Andrea Bartolini, Andrea Acquaviva, Francesco Barchi:
Bio-Inspired Drone Control: A Reinforcement Learning-Trained Spiking Neural Networks for Agile Navigation in Dynamic Environment. 1-8 - Olamilekan Banjo, Behnaz Ghoraani:
QCSNN: A Memory-Efficient Spiking Neural Network for On-Device ECG-Based Arrhythmia Detection. 1-6 - T. Maheswara Reddy Yenumula, Jesse P. Marin, Ashok Kumar:
Multi-Class Respiratory Sound Classification Using Machine Learning. 1-7 - Lily Lamb, Mohammadreza Mohammadi, Ramtin Zand:
Multi-Modal Vision at the Edge: Toward Low-Latency Perception for Autonomous Systems. 1-7 - Farshad Firouzi, Nathaniel Bleier, Bahar J. Farahani, Tolunay Seyfi, Fatemeh Afghah:
O2-RAN: Orbital Open RAN for Non-Terrestrial Networks and Space-Based Edge Computing. 1-9 - Mariia Bulycheva, Eugene Alooeff:
Development of Methodology of Graph Neural Networks Application in Recommender Systems. 1-4 - Sanmitra Banerjee, Jonti Talukdar, Farshad Firouzi:
Silicon Whisperers: Improving Test Quality and Cost in the Age of Generative AI. 1-5 - Sara Groppo, Massimo Violante, Silvia Noce:
Preliminary Automatic Analysis of Photoplethysmographic and Respiratory Signals for Sleep-Wake Pattern Identification in Young Infants at Risk of SIDS. 1-6 - Dipen Pradhan, Lakshit Arora, Ankit Shetgaonkar, Sanjay Surendranath Girija, Shashank Kapoor, Aman Raj:
Opportunities and Applications of GenAI in Smart Cities: A User-Centric Survey. 1-7 - Jawad Hazime, Junaid Farooq:
Evaluation of LLM Powered Agentic AI for Solving Multi-Arm Bandit Problems. 1-6 - Philip Wiese, Victor Javier Kartsch, Marco Guermandi, Luca Benini:
A Multi-Modal IoT Node for Energy-Efficient Environmental Monitoring with Edge AI Processing. 1-7 - Jung-Hua Wang, Chang-Hong Wu, Ming-Jer Chen, Yu-Chiao Yi, Huai-Wen Chang, Rong-Yu Wu:
EM-aided Federated Learning for Quality Assessment of Embryo Development. 1-6 - Aly Sabri Abdalla, Vuk Marojevic:
The Role of Generative Artificial Intelligence in Testing and Automation of Open RAN Systems: GNG-OTA Framework. 1-5 - Arnab Raha, Souvik Kundu, Sharath Nittur Sridhar, Shamik Kundu, Soumendu Kumar Ghosh, Alessandro Palla, Arghadip Das, Darren Crews, Deepak A. Mathaikutty:
LLM-NPU: Towards Efficient Foundation Model Inference on Low-Power Neural Processing Units. 1-8 - Maximilian Stäbler, Steffen Turnbull, Tobias Müller, Chris Langdon, Jorge Marx Gómez, Frank Köster:
The Impact of Chunking Strategies on Domain-Specific Information Retrieval in RAG Systems. 1-6 - Zhiyun Xue, Zhaohui Liang, Sivaramakrishnan Rajaraman, Niccolò Marini, Sameer K. Antani:
Detecting Oral Cancer Using Tabular Deep Learning. 1-6 - Eric Nguyen, Jeremy Abbott, Ashton Johns, Lin Zhang:
Efficient Self-Driving: A Study on the Behavioral Cloning based Autonomous Navigation. 1-4 - Muhammad Hassan, Mohamed A. Nadeem, Khushboo Qayyum, Chandan Kumar Jha, Rolf Drechsler:
Prompt. Verify. Repeat. LLMs in the Hardware Verification Cycle. 1-6 - Robert Viramontes, Azadeh Davoodi:
CADI: Carbon-Aware Distributed Inference. 1-6 - Prosen Kirtonia, Kasem Khalil, Magdy A. Bayoumi:
Transmission Analysis and Space-Efficient Structuring of Triangular TSVs for Dense Integration. 1-6 - Jelin Leslin, Martin Trapp, Martin Andraud:
Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications. 1-6 - Daniel Markert, Estelle Wünsche, Hussein Kerdi, Erik Leo Hass, Ian Blake, Yannic Warias, Ana Pérez Grassi, Alejandro Masrur:
WiSe4Car: A Dataset for WiFi Sensing in Automotive Vehicles. 1-6 - Pratima Chinta, Gokul Naidu, Manjunatha B, Anand Ponnath:
Optimizing Financial Decision-Making in Cloud Environments: A GenAI-driven Approach to Convert Natural Language to SQL. 1-6 - Anh Tung Nguyen, Binh T. Nguyen, Truong X. Nghiem, Sung Kyung Hong:
Collision-Aware Formation Control of Nano-Quadrotors: Theory and Experiments. 1-6 - Marios Paraskevopoulos, Ioanna Roussaki:
Fostering interoperability in agricultural data spaces: A DIVINE use case. 1-6 - Maha Bhatti, Emad M. Arasteh:
Performance Prediction of SystemC TLM-2.0 Contention-Aware DNN Models. 1-6 - K. C. Sharin Shahana, Sumit K. Mandal, Biresh Kumar Joardar:
Acceleration of Large Language Models with Emerging Compute and Communication Technology. 1-6 - Rouhan Noor, Md. Abdullah-Al Kaiser, Akhilesh R. Jaiswal:
A Dual-Read SOT-MRAM Bitcell Architecture for Robust In-Memory Computing. 1-6 - Jarrett-Scott K. Jenny, Matt Marshall:
Control of Cable-Driven Parallel Robots Using Uncalibrated Visual Servoing. 1-7 - Yatindra Indoria, Pabitra Mitra, Srishty Gandhi:
Adaptive Cache Management with Machine Learning. 1-6 - Jingxing Li, Yongjae Lee, Deliang Fan, Abhay Kumar Yadav, Cheng Peng, Rama Chellappa:
Speedy MASt3R. 1-6
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last updated on 2025-11-11 22:53 CET by the dblp team
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