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ORCIDSMARTCOMP 2024: Osaka, Japan
- IEEE International Conference on Smart Computing, SMARTCOMP 2024, Osaka, Japan, June 29 - July 2, 2024. IEEE 2024, ISBN 979-8-3503-4994-8
- Mattia Giovanni Campana, Nikil D. Dutt:
Message from the DM-SmartHealth 2024 Co-Chairs; SMARTCOMP 2024. xx - Franca Delmastro, Hayato Yamana, Dario Bruneo, Dirk Pesch:
Message from the General and TPC Co-Chairs; SMARTCOMP 2024. xiv-xv - Sajal K. Das, Hayato Yamana, Keiichi Yasumoto, Shameek Bhattacharjee:
Message from BITS 2024 Co-Chairs and Technical Program Co-Chairs; SMARTCOMP 2024. xxi - Stefan Fischer:
The Internet of Bio-Nano Things - Smart Computing in the Human Body. 2 - Nirmalya Roy, Zahid Hasan:
Contactless Physiological Health Sensing: Challenges, Solutions & Opportunities. 3 - Tatsuya Amano, Hamada Rizk:
Advancing Smart Computing: A Comprehensive Tutorial to 3D Point Clouds from Installation to Efficient Processing and Context Recognition for Next-Gen Applications. 4 - Sajal K. Das, Shameek Bhattacharjee:
Science of Cyber Physical Security in Smart Living CPS Applications. 5 - Debjyoti Sengupta, Anurag Satpathy, Sajal K. Das:
POSCA: Path Optimization for Solar Cover Amelioration in Urban Air Mobility. 6-13 - Samir Gupta, Agrima Khanna, Jose Paolo Talusan, Anwar Said, Daniel Freudberg, Ayan Mukhopadhyay, Abhishek Dubey:
A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting. 14-21 - Modeste Mefenya Kenne
, Prasanna Date, Ronald T. Eguchi, Zhenghui Hu, Julie Rousseau, Nalini Venkatasubramanian:
iFair: Achieving Fairness in the Allocation of Scarce Resources for Senior Health Care. 22-30 - Elham Okhovat, Michael Bauer:
Towards Enhanced Urban Management: Introducing A Model for Autonomic Smart City Management. 31-38 - Haruka Sakagami, Osamu Yamada, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto:
A Method for City-Wide PoI-Level Congestion Prediction via Assimilation of Actual and Simulation-Based PoI Congestion Data. 39-46 - Leonardo Ciabattini, Luca Sciullo, Alfonso Esposito, Ivan D. Zyrianoff, Marco Di Felice:
RATTLE: Train Identification Through Audio Fingerprinting. 47-54 - Luca Arrotta, Claudio Bettini, Gabriele Civitarese, Michele Fiori:
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models. 55-62 - Yuqiao Li, Fangqi Liu, Cheng-Hsin Hsu, Nalini Venkatasubramanian:
AMPHI: Adaptive Mission-Aware Microservices Provisioning in Heterogeneous IoT Settings. 63-70 - Eugen Slapak, Matús Dopiriak, Mohammad Abdullah Al Faruque, Juraj Gazda, Marco Levorato:
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving. 71-76 - Chenyang Wang, Owen Eicher, Qi Han:
Sharing the Edge: System Status Aware Object Recognition Task Offloading. 77-84 - Luca D'Agati, Francesco Longo, Giovanni Merlino, Antonio Puliafito, Giuseppe Tricomi:
Enhancing UAV Operational Efficiency through Cloud Computing and Autopilot System Integration. 85-92 - GuangXue Zhang, David L. Feldman, Yiming Lin, Sharad Mehrotra, Nalini Venkatasubramanian, Thayer Drew, Kim Sentovich, Owen Veranth:
Water-COLOR: Water-COnservation using a Learning-based Optimized Recommender. 93-100 - Hamada Rizk, Mirna Elbestar, Moustafa Youssef:
From Calls to Scales: Harnessing Smartphone Accelerometer and Vibration for Daily Mass Measurement. 101-108 - Richard Hernandez, Kemal Akkaya, Soamar Homsi:
Cost-Based Modeling and Optimization of Secure Matrix Multiplication in the Cloud. 109-116 - Andrew Fuchs, Andrea Passarella, Marco Conti:
Optimizing Risk-Averse Human-AI Hybrid Teams. 117-124 - Federico Montori, Rocco Pastore, Luca Sciullo, Luciano Bononi, Luca Bedogni:
An MCS Navigation System Based on Road Surface Quality for Bicycle Riders. 125-132 - Tran Anh Khoa, Minh-Son Dao, Do-Van Nguyen, Koji Zettsu:
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. 133-140 - Yoshikazu Watanabe, Seiya Shibata, Takashi Takenaka:
PREDEA: Predicted-RoI based Resource-Efficient Object Detection with Aggregation. 141-149 - Doris E. M. Brown, Venkata Sriram Siddhardh Nadendla, Sajal K. Das:
TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion. 150-157 - Ramin Soleimani, Dirk Pesch:
DP-MTFL: Differentially Private Multi-Tier Federated Learning for IoT applications. 158-165 - Afsaneh Mahanipour, Hana Khamfroush:
FMLFS: A Federated Multi-Label Feature Selection Based on Information Theory in IoT Environment. 166-173 - Victor Romero, Tomokazu Matsui, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto:
Towards Opportunistic Federated Learning Using Independent Subnetwork Training. 174-181 - Quincy Card, Daniel Simpson, Kshitiz Aryal, Maanak Gupta, Sheikh Rabiul Islam:
Explainable Deep Learning Models for Dynamic and Online Malware Classification. 182-189 - Rawan M. A. Nawaiseh, Fabrizio De Vita, Enrico Catalfamo, Dario Bruneo:
Leveraging Homeostatic Plasticity to Enable Anomaly Detection in Spiking Neural Networks. 190-197 - Sahar Abedzadeh, Shameek Bhattacharjee:
On the Role of Re-Descending M-Estimators in Resilient Anomaly Detection for Smart Living CPS. 198-205 - Dmitrii Fomin, Philippe Lalanda, Denis Morand:
A Domain-Specific Tool for the Creation of Machine Learning Models with Imbalanced Datasets. 206-213 - Yang Chen, Peiyue Yuan, Yanyu Wang, Chai Kiat Yeo, David Aik-Aun Khoo, Minhoe Hur, Zi Jian Yew, Keng Teck Ma:
Threshold Estimation-Assisted Unsupervised Patch-Wise Model for Industrial Inspection of Anomaly. 214-222 - Jose Paolo Talusan, Rishav Sen, Ava Pettet, Aaron Kandel, Yoshinori Suzue, Liam Pedersen, Ayan Mukhopadhyay, Abhishek Dubey:
OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization. 223-230 - Ruixiao Li, Ryutaro Onishi, Hayato Yamana:
An Implementation of Private Function Evaluation Using FHE and TEE for Smart Computing Systems. 231-233 - Sadan Kulturel-Konak, Abdullah Konak, Lawrence V. Snyder:
Solving Sequential Competitive Facility Location Challenges: Using Parallel Genetic Algorithms. 234-236 - Hoa Tran-Dang, Dong-Seong Kim:
Reinforcement Learning based Matching for Parallel Computation Offloading in Dynamic Fog Computing Networks. 237-239 - Mostafa Zaman, Ahmed Malik, Maher Al Islam, Courtney Van, Alyssa Pollard, Brittany Davis, Nasibeh Zohrabi, Sherif Abdelwahed:
OpenCyberCity Testbed's Recent Progress in Smart City Management. 240-242 - Yuki Matsuda:
A Table-Top Interface for Real-Time Coaching in Abacus Learning. 243-245 - Arata Yoshihara, Ismail Arai, Arata Endo, Masatoshi Kakiuchi, Kazutoshi Fujikawa:
Enhanced Pedestrian Detection Model Transfer-Trained on YOLOv8 Using DenseFused RGB and FIR Images. 246-248 - Toru Furusawa, Masatoshi Saitoh:
A Demonstration of Voice-Interactive AI Agents for Vehicles Utilizing Multiple LLMs. 249-251 - Pradip Kunwar:
PhD Forum: MalFormer001- Multimodal Transformer Fused Attention based Malware Detector. 252-253 - Debjyoti Sengupta:
PhD Forum: Sustainable Route Planning and Efficient Computation Offloading in Urban Air Mobility. 254-255 - Victor Romero II:
PhD Forum: Learning at the Time of Disasters. 256-257 - Doris E. M. Brown:
PhD Forum: Trust-Aware Routing of Human Drivers to Mitigate Traffic Congestion. 258-259 - Robert Viramontes:
PhD Forum: Deep Neural Networks at the Edge. 260-261 - Matús Dopiriak:
PhD Forum: Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving. 262-263 - Samir Gupta:
PhD Forum: Towards Efficient Urban Mobility: Leveraging GNN and MTL for Demand Forecasting. 264-265 - Osamu Yamada, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto:
Crowd Flow Prediction from Mobile Traces Through Time Series PoI Stay Counts. 266-271 - Alessio Terzi, Federico Montori, Lorenzo Gigli, Luca Bedogni, Marco Di Felice, Luciano Bononi:
Comparison of Commercial Pedometer Applications: A Rigorous Approach. 272-277 - Lars Lundberg:
Bibliometric Mining of Research Trends for Smart Cities. 278-283 - Giuseppe Tricomi, Luca D'Agati, Francesco Longo, Giovanni Merlino, Antonio Puliafito, Stefano Silvestri:
Paving the Way for an Urban Intelligence OpenStack-Based Architecture. 284-289 - Mostafa Zaman, Maher Al Islam, Nasibeh Zohrabi, Sherif Abdelwahed:
A Machine Learning-Based Temperature Control and Security Protection for Smart Buildings. 290-295 - Israel F. Breta, Karl Adriane D. C. Catalan, Sev Kristian M. Constantino, Ralph Adrian R. Mones, Edward D. Bustillos:
Automated Visual Quality Detection for Tilapia Using MobilenetV2 Convolutional Neural Network. 296-301 - Chang Yi Lee, Lee Choo Tay, Weng Chun Tan, Weng Kin Lai, Sheng Siang Lee:
Early Identification of Oil Palm Health Based on UAV Images Using Feature-Based Machine Learning. 302-307 - Gabriele Cecchetti, Anna Lina Ruscelli:
A Smart Sensor-Based Watering Automation System for Nursery Plants. 308-313 - Weng Kin Lai, Lee Choo Tay, Li Li Lim, Weng Chun Tan, Sheng Siang Lee:
Boosting Farm Efficiency: An Ant Colony Optimization Approach to Smart Agriculture. 314-319 - Theodore Nikiema, Eugène C. Ezin, Sylvain Kpenavoun Chogou, Pamela G. Katic:
Farm Households Food Security Status Automation Through Supervised Learning Approach: A Look at Agroecological Farms. 320-325 - Theodore Nikiema, Eugène C. Ezin, Sylvain Kpenavoun Chogou:
Categorizing Farms to Promote Agroecology: A Supervised Learning Approach. 326-331 - Avijoy Chakma, Anirban Das, Abu Zaher Md Faridee, Suchetana Chakraborty, Sandip Chakraborty, Nirmalya Roy:
AcouDL: Context-Aware Daily Activity Recognition from Natural Acoustic Signals. 332-337 - Mostafa Habibi, Mehrdad Nourani, Mohammad Nourani:
AI-Based Kinematic Analysis for Track Athletes. 338-343 - Ming-Lun Lee, Yuan-Heng Sun, Ya-Chu Chi, Yan-Ann Chen, Yao-Long Tsai, Yu-Chee Tseng:
Acoustic Camera-Based Anomaly Detection for Wind Turbines. 344-349 - Chingyuan Lin, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto:
Detecting Distress Changes Using Multimodal Data During Interaction with A Smart Speaker. 350-355 - Robert Viramontes, Azadeh Davoodi:
DIME: Distributed Inference Model Estimation for Minimizing Profiled Latency. 356-361 - Marta Quemada López, Thomas Plagemann, Vera Goebel, Jonathan Adams, David Hui, Britt Øverland, Harriet Akre, Lars Preben S. Arnesen:
Requirements Analysis for Responsible Explainable AI for Pediatric Sleep Apnea Diagnosis. 362-367 - Guilherme Antonio Borges, Julio Cesar Santos dos Anjos, Jorge Sá Silva:
Federated Learning for Sleep Detection Problems. 368-373 - Emanuele Giuseppe Siani, Laura Scigliano, Dario Bruneo, Fabrizio De Vita, Valeria Tomaselli, Danilo Pau:
A Numerical Comparison of Deeply Quantized Models for sEMG Hand Gesture Classification on Constrained Devices. 374-379 - Dragan Ahmetovic, Alessio Angileri, Sara Arcudi, Claudio Bettini, Gabriele Civitarese, Marco Colussi, Andrea Giachi, Roberta Gualtierotti, Sergio Mascetti, Matteo Manzoni, Flora Peyvandi, Aiman Solyman, Addolorata Truma:
Insights on the Development of PRACTICE, A Research-Oriented Healthcare Platform. 380-385 - Lucas Maris, Yuki Matsuda, Keiichi Yasumoto:
Protecting Cross-Camera Person Re-Identification Data with Image Differential Privacy. 386-391
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