A correlation-based binary particle swarm optimization method for feature selection in human activity recognition by Huaijun Wang, Ruomeng Ke, Junhuai Li, Yang An, Kan Wang, Lei Yu

“…Effective feature selection determines the efficiency and accuracy of a learning process, which is essential in human activity recognition. …”
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Spatial multi-omics analysis of tumor-stroma boundary cell features for predicting breast cancer progression and therapy response by Yuanyuan Wu, Youyang Shi, Zhanyang Luo, Xiqiu Zhou, Yonghao Chen, Xiaoyun Song, Sheng Liu

“…The CAF-M2 phenotype emerges as a critical determinant of immunosuppression and drug resistance, suggesting that targeting this interaction may improve treatment responses. …”
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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…These attacks often involve fraudulent websites designed to steal sensitive information, such as passwords and credit card details, by mimicking legitimate sites. …”
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An Analysis of Arterial Pulse Wave Time Features and Pulse Wave Velocity Calculations Based on Radial Electrical Bioimpedance Waveforms in Patients Scheduled for Coronary Catheteri... by Kristina Lotamõis, Tiina Uuetoa, Andrei Krivošei, Paul Annus, Margus Metshein, Marek Rist, Sulev Margus, Mart Min, Gert Tamberg

“…The median value of complimentary pulse wave velocity (CPWV), a parameter proposed in the paper, was significantly lower in patients with normal coronaries compared to patients with any stage of coronary disease. Conclusions: With regard to wearable devices, the EBI-derived PAT can serve as a substrate for PWV calculations and cardiovascular risk assessment, although these data require further confirmation.…”
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Approach to worm early warning based on local victim behavior by TIAN Jun-feng, ZHANG Chi, LIU Tao, LI Ning

“…Traditional algorithm to scanning worms early warning can’t be used to distinguish P2P activity which can produce infection-like traffic,it also can’t be used to forecast the multivector worms which propagation by exploits several vulnerabilities.To settle this problem,an improved algorithm was developed and an early warning model was established based on the algorithm.At last,the feasibility of this method was analysed,by comparing with existing methods,the new approach become more efficient,and had the characteristic of issuing warning at the early stage of worm propagation.…”
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Approach to worm early warning based on local victim behavior by TIAN Jun-feng, ZHANG Chi, LIU Tao, LI Ning

“…Traditional algorithm to scanning worms early warning can’t be used to distinguish P2P activity which can produce infection-like traffic,it also can’t be used to forecast the multivector worms which propagation by exploits several vulnerabilities.To settle this problem,an improved algorithm was developed and an early warning model was established based on the algorithm.At last,the feasibility of this method was analysed,by comparing with existing methods,the new approach become more efficient,and had the characteristic of issuing warning at the early stage of worm propagation.…”
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Self-Organized Clustering Architecture for Vehicular Ad Hoc Networks by Cándido Caballero-Gil, Pino Caballero-Gil, Jezabel Molina-Gil

“…Full definitions of all the architecture procedures are provided, including a cluster-head selection algorithm based on a version of the independent set problem and a secret-key agreement scheme that uses the generalized Diffie-Hellman protocol. …”
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Research on Power Conversion and Control Technology of Ocean Buoy Tidal Energy Power Supply System by Changpo Song, Fengyong Sun, Fan Yang

“…Saber and Matlab simulations demonstrate that the proposed approach yields faster power tracking response and increases output power by 5–10% compared to traditional methods. …”
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Optimizing the lifetime of wireless sensor networks via reinforcement-learning-based routing by Wenjing Guo, Cairong Yan, Ting Lu

“…In the definition of reward function, factors such as link distance, residual energy, and hop count to the sink are taken into account to cut down the total energy consumption, balance the energy consumption, and improve the packet delivery. …”
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Pengenalan Angka Tulisan Tangan Menggunakan Jaringan Syaraf Buatan by Yohanes Bowo Widodo, Muhammad Amin Sakaria

“…In this reserarch will be developed a computer program implementing an artificial neural network that learns to recognize handwritten digits. …”
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Routing metric based on interference measurement for multi-radio multi-channel wireless mesh networks by Wen-jiang JI, Jian-feng MA, Jun-wei ZHANG, Zhuo MA

“…An interference sensing based(ISB)routing metric which mainly depend on the estimation of signal power was introduced for the multi-radio multi-channel wireless mesh networks.The existing metric such like WCETT and iAWARE all have their drawbacks were shown.As shown in the equations of iAWARE,it could be proved that worse background noise corresponds to a better metric value which was imprecise.The iAWARE to make it suited for the environment with background noise was improved,and the isotonic property was regained that the Bellman-Ford and Dijkstra algorithm could be deployed in ISB.The simulation results prove the novel algorithm takes the advantages of higher efficiency both in throughput and end to end delays,compared with the traditional ones HopCount,ETT,WCETT and iAWARE.…”
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Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis. by Ayşe Banu Birlik, Hakan Tozan, Kevser Banu Köse

“…In this study, we developed and validated the Ensemble-Based Risk Estimation System (ERES), a machine learning model designed to enhance mortality prediction in patients undergoing coronary artery bypass grafting and/or valve surgery. …”
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Prototyping a graph-based approach for efficient vehicle tracking in a cluster controlled CCTV surveillance systems by Apurva NARAYAN, Charumathi PARIVALLAL, Olirva MAHESWARAN, Sarath CHANDRAN KALATHILPARAMBIL RAMACHANDRAN

“…The optical character recognition (OCR) enables a detailed number plate recognition, while the multimodal data fusion enhances the robustness of vehicle tracking in dynamic conditions. …”
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Natural language processing for enhanced feedback mechanisms in breast cancer care: a systematic review and comparative exploration by Faezeh Firuzpour, Hamid Reza Saeidnia

“…The findings highlight the efficacy of NLP in sentiment and emotion analysis, enabling a deeper understanding of patient experiences across diverse platforms. …”
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Comprehensive Performance Assessment of Multi-Neural Ensemble Model for Mortality Prediction in ICU by M. Fathima Begum, Subhashini Narayan

“…But it can be quite difficult because most medical data are typically unbalanced and incomplete. …”
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A meta-review of remote sensing for rubber plantations by Zilong Yue, Chiwei Xiao

“…Additionally, deep learning improved classification accuracy by 15–20 %, especially in detecting young plantations under six years old. …”
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Refinement of Control Strategies for Wheel-Fan Systems in High-Speed Air-Floating Vehicles Operating in Atmospheric Pressure Pipelines by Kun Zhang, Bin Jiao, Yuliang Bian, Zeming Liu, Tiehua Ma, Changxin Chen

“…The hub motor of the wheel fan is managed through three distinct algorithms: PID, fuzzy PID, and the backpropagation neural network (BP). …”
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Optimized Offloading in Vehicular Edge Computing: A Game Theoretic Analysis by Abdelkarim Ait Temghart, Mbarek Marwan, Mohamed Baslam

“…Numerical results demonstrate the fast convergence and improved performance achieved.…”
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Quantifying ruminal health: A statistical review and application of area and time under the curve in animal science by Luis O. Tedeschi

“…The concepts of area under the curve (AUC) and time under the curve (TUC), along with their complements area above the curve (AAC) and time above the curve (TAC), provide a powerful statistical framework for quantifying temporal dynamics across various scientific disciplines. These metrics distill complex, time-dependent phenomena into comprehensible values, enabling detailed comparisons of diverse processes. …”
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Iteration Coupling Simulation of Random Waves and Wave-Induced Currents by Jinhai Zheng, Tianwen Wang, Gang Wang, Chenming Zhang, Chi Zhang

“…The model test with a laboratory experiment shows that wave-induced currents have an important influence on the wave transformation, for example, the wave energy defocusing due to the strong jet-like current along the centerline of the shoal. …”
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