Design and Analysis of High-Performance Smart Card with HF/UHF Dual-Band RFID Tag and Memory Functions by Gi-Hyun Hwang, Dae-Ki Kang

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Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information by Shiqi Jiang, Pengfei Zhou, Mo Li

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Path Prediction Method for Effective Sensor Filtering in Sensor Registry System by Sukhoon Lee, Dongwon Jeong, Doo-Kwon Baik, Dae-Kyoo Kim

“…We also propose a method for learning and predicting user paths based on the Collective Behavior Pattern. To improve prediction accuracy, we consider a time feature to measure weights and predict a path. …”
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On Lightweight Intrusion Detection: Modeling and Detecting Intrusions Dedicated to OLSR Protocol by Mouhannad Alattar, Françoise Sailhan, Julien Bourgeois

“…Mobile ad hoc networks mostly operate over open, adverse, or even hostile environments and are, therefore, vulnerable to a large body of threats. …”
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The Influence of Artificial Intelligence Technology on the Management of Livestock Farms by Awoke Melak, Tesfalem Aseged, Takele Shitaw

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HMM and Rule-Based Hybrid Intruder Detection Approach by Synthesizing Decisions of Sensors by Kyungmin Kim, Kwang Il Park, Yewon Jeong, June Seok Hong, Hak-Jin Kim, Wooju Kim

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Ontology-Based, Process-Oriented, and Society-Independent Agent System for Cloud Computing by Mahmood Fathalipour, Ali Selamat, Jason J. Jung

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RACH Traffic Prediction in Massive Machine Type Communications by Hossein Mehri, Hani Mehrpouyan, Hao Chen

“…Traffic pattern prediction has emerged as a promising approach for efficiently managing and mitigating the impacts of event-driven bursty traffic in massive machine-type communication (mMTC) networks. …”
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Causally-Aware Reinforcement Learning for Joint Communication and Sensing by Anik Roy, Serene Banerjee, Jishnu Sadasivan, Arnab Sarkar, Soumyajit Dey

“…The next-generation wireless network, 6G and beyond, envisions to integrate communication and sensing to overcome interference, improve spectrum efficiency, and reduce hardware and power consumption. …”
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User preference–based QoS-aware service function placement in IoT-Edge cloud by Briytone Mutichiro, Younghan Kim

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A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

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Ultrasonic Sensor-Based Personalized Multichannel Audio Rendering for Multiview Broadcasting Services by Yong Guk Kim, Sang-Taeck Moon, Seung Ho Choi, Hong Kook Kim

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Incremental Adversarial Learning for Polymorphic Attack Detection by Ulya Sabeel, Shahram Shah Heydari, Khalil El-Khatib, Khalid Elgazzar

“…The employed attack quality analysis ensures that the adversarial atypical/polymorphic attacks generated through our system resemble original network attacks. We showcase the high performance of the IDS that we have proposed by training it using the CICIDS2017 and CICIoT2023 benchmark datasets and evaluating its performance against several atypical/polymorphic attack flows. …”
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AERO: Adaptive Edge-Cloud Orchestration With a Sub-1K-Parameter Forecasting Model by Berend J. D. Gort, Godfrey M. Kibalya, Angelos Antonopoulos

“…Effective resource management in edge-cloud networks is crucial for meeting Quality of Service (QoS) requirements while minimizing operational costs. …”
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Spatiotemporal analysis of land use and land cover changes, LST and NDVI in Thatta district, Sindh, Pakistan

“…The purpose of this work is to determine land-use and land-cover (LULC) patterns, land surface temperature (LST), and normalized difference vegetation index (NDVI) changes in Thatta district using Landsat data from 1991 to 2021 and evaluate the relationship between LST and NDVI. …”
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Improving unsupervised pedestrian re‐identification with enhanced feature representation and robust clustering by Jiang Luo, Lingjun Liu

“…Second, a dispersion‐based clustering method, which can effectively evaluate the quality of clustering and discover potential patterns in the data is designed. …”
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Evolution of foraging behaviour induces variable complexity-stability relationships in mutualist-exploiter-predator communities. by Lin Wang, Ting Wang, Xiao-Wei Zhang, Xiao-Fen Lin, Jia Li, Jin-Bao Liao, Rui-Wu Wang

“…Here, we explored an adaptive network model to evaluate how the evolution of foraging preference to determine the relationship between network complexity (i.e., connectance) and stability (i.e., community persistence at steady state) in mutualist-exploiter-predator communities (MEST). …”
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Defecting or not defecting: how to "read" human behavior during cooperative games by EEG measurements. by Fabrizio De Vico Fallani, Vincenzo Nicosia, Roberta Sinatra, Laura Astolfi, Febo Cincotti, Donatella Mattia, Christopher Wilke, Alex Doud, Vito Latora, Bin He, Fabio Babiloni

“…The decision to defect can be "read" in advance by evaluating the changes of connectivity pattern in the hyper-brain network.…”
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Research on the Layout of Courtyard Space in Underground Commercial Streets by Yu He, Xiaowei Chen, Meixuan Tian, Chi Zhang, Jing Kang

“…This research investigates the rationality of atrium spatial distribution in underground pedestrian streets, with particular emphasis on developing an evaluation framework for assessing atrium layout appropriateness, using pedestrian congregation patterns shaped by spatial network morphology as the primary evaluation criterion. …”
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Uncovering glycolysis-driven molecular subtypes in diabetic nephropathy: a WGCNA and machine learning approach for diagnostic precision by Chenglong Fan, Guanglin Yang, Cheng Li, Jiwen Cheng, Shaohua Chen, Hua Mi

“…Methods In this study, the expression patterns of glycolysis-related genes (GRGs) were first analyzed using the GSE30122, GSE30528, and GSE96804  datasets, followed by an evaluation of the immune landscape in DN. …”
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