Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. …”
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Sec-CLOCs: Multimodal Back-End Fusion-Based Object Detection Algorithm in Snowy Scenes by Rui Gong, Xiangsuo Fan, Dengsheng Cai, You Lu

“…Additionally, the DyHead detection head and Wise-IOU loss function are introduced to optimize YOLOv8s and improve 2D detection performance.The LIDROR algorithm preprocesses point cloud data for the SECOND detector, yielding 3D object detection results. …”
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Optimizing Sentiment Analysis of Digital Wayang Viewer Comments using SMOTE and the Naïve Bayes Algorithm by mawar hardiyanti, Maria Karmelia Fajarlestari

“…Sentiment analysis based on viewer comments offers an effective way to identify audience opinions—whether positive, negative, or neutral. Comment data were collected using web scraping techniques with Selenium WebDriver, enabling efficient data extraction. …”
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Design and implementation of a vein detection system for improved accuracy in blood sampling by Omar Boutalaka, Achraf Benba, Sara Sandabad

“…This project introduces a system designed to improve vein detection during blood collection. …”
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Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms by Ye Liu, Shixin Li, Liming Zhou, Haichen Liu, Zhiyu Li

“…Dark-YOLO demonstrates outstanding performance on the DarkFace dataset, achieving an mAP@50 of 49.1% and an mAP@50-95 of 21.9%, further validating its effectiveness for face detection under complex low-light conditions.…”
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Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm by K. Gopalakrishnan, R. Sivaraj, M. Vijayakumar

“…This method develops an Automated Weed Recognition and Classification using a Deep Learning Model with Lemrus Optimization (AWRC-DLMLO). …”
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A Novel Geometric-Descriptor Based Algorithm for Individual-Level Crop Monitoring using UAVs by Y. Goswami, Y. Goswami, N. Ramprasad, S. N. Omkar

“…However, processing these images proves challenging due to varying lighting conditions, changes in scale due to height differences, orientation shifts based on the drone operator's skill, and fluctuating image quality depending on the camera. …”
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Research on Path Planning Multiple Mobile Robots Based on the LAPGWO Algorithm by Wan Xu, Dongting Liu, Ao Nie, Junqi Wang, Shijie Liu

“…Firstly, the LAPGWO algorithm uses logistic chaotic mapping to initialize the scale of grey wolves, improving the diversity of the population distribution. …”
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Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting by G. H. Harish Nayak, Md. Wasi Alam, B. Samuel Naik, B. S. Varshini, G. Avinash, Rajeev Ranjan Kumar, Mrinmoy Ray, K. N. Singh

“…The findings have significant implications for policymakers, market regulators, and farmers by supporting timely interventions, improving market transparency, and enabling data-driven decision-making.…”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…Then, we deploy GPT to learn the distribution of the initial human gaze fixation toward different sceneries. …”
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…These findings demonstrate the model's effectiveness and practical value in dynamic international trade scenarios, offering a reliable approach for enhanced bank credit risk evaluation.…”
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Algorithm Comparison and Evaluation of GAN Models Based on Image Transferring from Desert to Green Field by Zhenyu Liu, Hongjun Li

“…Some time-consuming and labor-intensive techniques, like manual drawing or interactive modeling with an image editing system, are often used to show how a desert area might look after being transformed into a green field (oasis) in an image way. …”
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Improving Long PN-Code Acquisition in the Presence of Doppler Frequency Shifts by Maryam Borna, Mohammad Hossein Madani

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A Hybrid Optimization Framework for Dynamic Drone Networks: Integrating Genetic Algorithms with Reinforcement Learning by Mustafa Ulaş, Anıl Sezgin, Aytuğ Boyacı

“…The growing use of unmanned aerial vehicles (UAVs) in diverse fields such as disaster recovery, rural regions, and smart cities necessitates effective dynamic drone network establishment techniques. …”
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Dynamic Analysis and Efficient Numerical Algorithm for Rocking Response of Freestanding Packages Under Transportation Excitations by Zhenmin Qi, Dapeng Zhu

“…The transportation of freestanding packages, such as steel coils and prefabricated building components, poses significant safety challenges due to their susceptibility to dynamic responses like rocking, sliding, and overturning under vehicle acceleration. …”
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Diagnostic accuracy of an app-guided, self-administered test for influenza among individuals presenting to general practice with influenza-like illness: study protocol by Nigel Stocks, Matthew Thompson, Barry Lutz, Mark Rieder, Monica Zigman Suchsland, Victoria Lyon, Monique Chilver, Philip Su, Shawna Cooper, Chunjong Park, Libby Rose Lavitt, Alex Mariakakis, Shwetak Patel, Chelsey Graham, Cynthia LeRouge

“…Protocol details and any amendments will be reported to https://www.tga.gov.au/. …”
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The algorithm and implementation of an extension to LLVM for solving the blocking between instruction sink and division-modulo combine by YungYu Zhuang, Ting-Wei Lin, Yin-Jung Huang

“…This separation prevents the application of the machine-dependent optimization called Division-Modulo Combine at the backend, which could otherwise lead to a decline in program performance. …”
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Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…The rapid growth of the Internet of Things (IoT) has revolutionized various industries by enabling interconnected devices to exchange data seamlessly. However, IoT systems face significant security challenges due to decentralized architectures, resource-constrained devices, and dynamic network environments. …”
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State-of-the-Art Review: Models and Algorithms for Optimal Power System Design, Stabilization, and Reliability Enhancement by Senele Njabulo Zwane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…The trends analysis further shows a notable shift towards learning algorithms, indicating an increasing interest in data-driven approaches to improve system performance. …”
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Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

“…The SHAP analysis indicated that BMI, age, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol emerged as the key predictors across models. …”
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