RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study by Angela H. L. Chen, Yun-Chia Liang, Wan-Ju Chang, Hsuan-Yuan Siauw, Vanny Minanda

“…In Taipei, Taiwan, this tendency is observed by analyzing historical data from the Mass Rapid Transit (MRT) and economy-shared bicycle (known as YouBike) riders. While this trend exists, the Taipei City government promotes green transportation by providing discounts to users who transfer from MRT or bus to YouBike within a particular period. …”
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Struggling with the Business Models: Content Monetisation Strategies of News Startups in India by Sagar-Sadanand Gokhale

“…Moreover, news startups depend on top media platforms with ever-changing algorithm rules for content dissemination and monetization. …”
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On the Security of Data Collection and Transmission from Wireless Sensor Networks in the Context of Internet of Things by Hong Yu, Jingsha He, Ruohong Liu, Dajie Ji

“…In this paper, we propose a scheme, which we refer to as Data Authentication and En-route Filtering (DAEF), for WSNs in the context of IoT. In DAEF, signature shares are generated and distributed based on verifiable secret sharing cryptography and an efficient ID-based signature algorithm. …”
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Understanding patient perception of digital value co-creation in electronic health record through clustering approach by Ilma Nurul Rachmania, Gatot Yudoko, Mursyid Hasan Basri, Santi Setyaningsih

“…Using a questionnaire collected from 422 patients, the study employed the K-modes clustering algorithm in R-Studio to group users based on shared characteristics and perceptions of value co-creation. …”
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Climate change impact on the distribution and priority areas for conservation of Sterculia setigera Delile in Benin, West Africa by Rissicath Foumilayo Djaboutou, Séverin Biaou, Gérard Nounagnon Gouwakinnou, Christine A. I. Nougbodé Ouinsavi

“…To address these questions, we subjected each subgroup to species distribution modeling (SDM) using the maximum entropy algorithm (MaxEnt). This approach was applied under Shared Socioeconomic Pathways (SSP 2–4.5) and SSP 5–8.5 climate scenarios. …”
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RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? by Prajwalita Saikia, Anand Jee, Keshav Singh, Cunhua Pan, Wan-Jen Huang, Theodoros A. Tsiftsis

“…Thus a prominent solution of sharing spectrum between radar and communication systems has been proposed. …”
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Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…., UAV LiDAR systems tend to overlook details of the tree trunk or the lower ground, while Backpack LiDAR systems struggle to capture the treetop, etc. …”
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Radiomics for Machine Learning—A Multi-Class System for the Automatic Detection of COVID-19 and Community-Acquired Pneumonia from Computed Tomography Images by Vasileia Paschaloudi, Dimitris Fotopoulos, Ioanna Chouvarda

“…Since COVID-19 and CAP share similar characteristics, it is challenging to develop a model that can distinguish these diseases. …”
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Power Efficient Clustering for Wireless Multimedia Sensor Network by Seng-Kyoun Jo, Muhammad Ikram, Ilgu Jung, Won Ryu, Jinsul Kim

“…We propose a resource and energy efficient distributed image compression algorithm that dynamically configures according to the energy levels and the forwarding strategy that is based on the entropy of the image. …”
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Development of an enhanced base unit generation framework for predicting demand in free‐floating micro‐mobility by Dohyun Lee, Kyoungok Kim

“…The approach was evaluated using shared e‐scooter data from two cities, Kansas City and Minneapolis, and it was compared to the traditional grid method. …”
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Research on an adaptive multimodal cognitive load classification method by Xiangxin Yu, Ruizhen Wang

“…The IMDA module aims to mitigate the inter-subject variability of fNIRS signals by extracting shared features among subjects, while the CMDA module leverages electroencephalography (EEG) to align the spatiotemporal information of fNIRS, thereby capturing intrinsic relationships between physiological signals to overcome the limitations in model feature representation caused by the scarcity of fNIRS data. …”
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A Blockchain-Based Edge Computing Group Signature Authentication Model for Underwater Clustered Networks by Yanxia Chen, Zhe Li, Rongxin Zhu

“…These networks predominantly utilize acoustic communication, characterized by an open and shared acoustic channel and energy-limited underwater nodes, which underscores the critical importance of node authentication and management. …”
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SATELLITE ALTIMETER DATA FILTERING AND SMOOTHING IN THE COURSE OF GROUND-BASED RETRACKING by D. S. Borovitsky, A. E. Zhesterev, V. P. Ipatov, R. M. Mamchur

“…Satellite altimeter on-board delay-lock loop, by a widely shared concept, is operationally just a tool of a reliable retaining of received echo-signal within the tracking window, while “fine” altimetric parameter (orbit height, significant wave height, scattering cross section per unit of a probed surface, etc.) measuring is committed to the ground-based retracking of data. …”
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Innovative cross-layer defense mechanisms for blackhole and wormhole attacks in wireless ad-hoc networks by Jagadeesan Srinivasan

“…A wormhole attack disrupts communication through tunneling, while a blackhole attack manipulates network traffic by impersonating the source. …”
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Consensus-Based Intelligent Distributed Secondary Control for Multiagent Islanded Microgrid by Ali M. Jasim, Basil H. Jasim, Flah Aymen, Hossam Kotb, Ahmed Althobaiti

“…Isolated microgrids (MGs) face challenges in performance stability and active/reactive power sharing as a result of frequency/voltage deviations and mismatched line impedance issues. …”
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Resource allocation for coexistence of eMBB and bursty URLLC based on queueing with preemption by Wei Guo, Kai Liang, Yuewen Song, Xiaoli Chu, Gan Zheng, Kai-Kit Wong

“…Specifically, we first divide the computing resources at the BS into a shared part for both URLLC and eMBB users and an exclusive part only for eMBB users, and propose a queuing mechanism with preemptive-resume priority for accessing the shared computing resources. …”
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Design and Research on a Reed Field Obstacle Detection and Safety Warning System Based on Improved YOLOv8n by Yuanyuan Zhang, Zhongqiu Mu, Kunpeng Tian, Bing Zhang, Jicheng Huang

“…Additionally, we employ a Lightweight Shared Convolutional Separable Batch Normalization Detection Head in the detection head, which significantly reduces the number of parameters while improving detection accuracy. …”
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Human-Aware Robot Collaborative Task Planning Using Artificial Potential Field and DQN Reinforcement Learning by Jayesh Prakash, Sam Altnji, Karthick Thiyagarajan, Jogesh S. Nanda, Abhijit Biswas, Abhra Roy Chowdhury

“…Experimental results show that DQN trained model performed better than Bezier interpolation in reaching the final goal position with an accuracy of 74mm while avoiding obstacles at the same time in a shared environment. …”
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Semantic RF Waveform Adaptation in Flying Ad Hoc Networks via Hybrid Knowledge Bases and Deep Reinforcement Learning by Weiqiang Lyu, Linsheng He, Jiamiao Zhao, Fei Hu

“…We propose a framework that jointly optimizes modulation order and cyclic prefix length while considering the semantic importance of transmitted data. …”
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SCL-YOLOv11: A Lightweight Object Detection Network for Low-Illumination Environments by Shulong Zhuo, Hao Bai, Lifeng Jiang, Xiaojian Zhou, Xu Duan, Yiqun Ma, Zihan Zhou

“…Experimental results on the ExDark dataset demonstrate that the proposed algorithm achieves 67.6% mAP@0.5 and 42.4% mAP@0.5:0.95, while reducing parameter count by 38.5% and computational cost by 25.4%. …”
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