YOLOv8-GDCI: Research on the Phytophthora Blight Detection Method of Different Parts of Chili Based on Improved YOLOv8 Model by Yulong Duan, Weiyu Han, Peng Guo, Xinhua Wei

“…Smart farms are crucial in modern agriculture, but current object detection algorithms cannot detect chili Phytophthora blight accurately. …”
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Comprehensive Utilization and Optimal Allocation of Environmental Protection Building Materials in the Construction of Civil Engineering by Li Ren, Huasha Ru, Ruiya Xiao, Yao Ju

“…An optimization model, using genetic algorithms and life cycle assessment, was employed to achieve the best material distribution for specific project needs. …”
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Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control by Abroon Jamal Qazi, Clarence W. de Silva, Afzal Khan, Muhammad Tahir Khan

“…Also, the optimized semi-active suspension system is evaluated for its performance in relation to variation in payload. …”
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Custom YOLO Object Detection Model for COVID-19 Diagnosis by Noor Najah Ali, Aseel Hameed, Asanka G. Perera, Ali Al_Naji

“…These tools also help to better understand the course of the disease. …”
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A trusted and regulated data trading scheme based on blockchain and zero‐knowledge proof by Dongmei Li, Xiaohui Ke, Xiaomei Zhang, Yujin Zhang

“…Smart contracts and zero‐knowledge proof technology can automatically verify the validity of data to protect the rights and interests of data users; at the same time, efficient consensus algorithms can also increase the rate of transactions processed by the blockchain system. …”
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Most Recent Trials and Advances in Hypertension by Elías Martínez Rey-Rañal, Alberto Cordero

“…The use of fixed-dose combinations and polypills has been demonstrated to be valid and to provide clinical benefits beyond blood pressure control. There have also been advances in new approaches such as telemedicine, devices and the use of algorithms. …”
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AI-Enabled Digital Marketing in Startups: A Systematic Review of Global Practices and Egyptian Implementation Challenges by Wael Bedda, Heba Al-Ashry, Hamed Ead

“…Challenges such as ethical concerns, algorithmic bias, and cultural readiness still persist. …”
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Determine train load and speed based on dynamic displacement results by Nhung Thi Cam NGUYEN, An Thai LE, Hoang Nguyen BUI, Thuc Van NGO, Huy Phan BUI, Minh Quang TRAN

“…In the context of increasing demand for rail transport, accurately determining these parameters not only helps ensure safety but also brings economic benefits and optimizes system efficiency. …”
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Theoretical Properties of Closed Frequent Itemsets in Frequent Pattern Mining by Huina Zhang, Hui Li, Yumei Li, Guangqiang Teng, Xianbing Cao

“…These contributions not only reinforce the solid theoretical foundation of CFIs but also provide practical insights for the development of more efficient algorithms in frequent pattern mining.…”
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A novel molecular classification system based on the molecular feature score identifies patients sensitive to immune therapy and target therapy by Yang Li, Yang Li, Yinan Ding, Yinan Ding, Jinghao Wang, Xiaoxia Wu, Xiaoxia Wu, Dinghu Zhang, Dinghu Zhang, Han Zhou, Han Zhou, Pengfei Zhang, Pengfei Zhang, Guoliang Shao, Guoliang Shao

“…Subsequently, machine learning algorithms were used to predict the classifications and prognoses. …”
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Efficient and Constant Time Modular Reduction With Generalized Mersenne Primes by Serdar S. Erdem, Sezer S. Erdem

“…Because calculated values can be negative, two’s complement arithmetic is used in calculations. The proposed algorithms have substantial speed improvements over the classical algorithms in software. …”
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A Decade in Software-Based Side and Covert Channel Attacks and Countermeasures: A Survey by Teodora Vasilas, Remus Brad

“…As technology continues to evolve, it provides significant benefits, such as seamless access to information, while also introducing critical security challenges, including privacy vulnerabilities and the rapid spread of misinformation. …”
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Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

“…This work aims to present a systematic literature review on works employing Deep Reinforcement Learning for multirotor drone landing in both static and dynamic platforms. It also revisits Reinforcement Learning Algorithms, the main frameworks and simulators adopted for specific landing operations. …”
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Velocity field of image points in satellite imagery of planet’s surface by V. Ya. Gecha, M. Yu. Zhilenev, V. B. Fyodorov, D. A. Khrychev, Yu. I. Hudak, A. V. Shatina

“…Despite this idealization, the derived formula can be used in developing algorithms for remote sensing of the Earth, for building and optimizing the image blurring compensators, for solving the problem of blurred image recovery, and for a number of other problems related to satellite imagery preparation, execution, and processing the results.…”
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Battery Cell Charging Behavior Analysis Using Constant Current and Constant Voltage Methods by Anna Cyntia, Muhammad Imran Hamid, Ayu Elsa Afriyanti

“…The CC/CV method is compared with findings from other studies that also used the CC/CV charging technique, highlighting similarities and differences in the results. …”
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Artificial intelligence, generative artificial intelligence and research integrity: a hybrid systemic review by Khalid H. Arar, Hamit Özen, Gülşah Polat, Selahattin Turan

“…The research reveals that GenAI integration speed has accelerated across all research stages, including academic writing, literature review, data analysis, and hypothesis development. The study also identifies risks such as biased algorithms, plagiarism risk, false information production, and potential damage to academic integrity. …”
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ML-Based Materials Evaluation in 3D Printing by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Jakub Kopowski

“…This accelerates the pace of 3D printing development but also increases the precision of material selection and processing, contributing to more efficient use of materials and energy for printing.…”
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An Antinoise Fault Diagnosis Method Based on Multiscale 1DCNN by Jie Cao, Zhidong He, Jinhua Wang, Ping Yu

“…Experimental results illustrate that the improved methods proposed in this paper effectively enhance the diagnostic performance of MSK-1DCNN under intense noise, and the diagnostic accuracy is higher than that of other comparison algorithms.…”
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Ecotoxicity prediction of chemical compounds using machine learning and different molecular structure representations by Michał Marek, Rafał Kurczab

“…This paper presents the development of models for predicting chemical ecotoxicity (HC50) based on machine learning algorithms and different molecular representations. …”
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A New Hard Problem for Post-Quantum Cryptography: Q-Problem Primitives by Mostefa Kara, Mohammad Hammoudeh, Sultan Alamri

“…This shift is motivated by the structural vulnerabilities that quantum algorithms may exploit in traditional formulations. …”
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