Evaluation of the APSIM common bean model using different cultivars and water-management scenarios by Seyedreza Amiri, Nader Zakeri, Tayebeh Yousefi

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Formation of Orthogonal Components of Input Currents in Microprocessor Protections of Electrical Equipment by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, I. V. Novash

“…The evaluation of the efficiency of the proposed method was performed using a complex digital model implemented in the dynamic modeling environment MatLab-Simulink. …”
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AI-strategic game-theoretic analysis of haze management: A study on local government decision-making in China by Jafar Hussain, Benjamin Lev, Zhenyu Qiu, Xinting Ding, Jifan Ren, Jinyi Tian

“…This study provides actionable insights for policymakers seeking to optimize haze management in complex, multi-regional governance systems.…”
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Improved identification and tracking of three-dimensional eddies in the Southern Ocean utilizing 3D-U-Res-Net by Chang Liu, Xiayan Lin, Xiayan Lin, Guangjun Xu, Guangjun Xu, Guoqing Han, Yu Liu

“…Accurate characterization of their three-dimensional structures and movement is essential for a quantitative analysis of their transport processes. Traditional eddy detection algorithms have lower successful detection rate and with more limitations, so they fall short in the complex and dynamic ocean environment. …”
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Genetic algorithm solving the scheduling problem of large-scale power grid material quality inspection bases under multiple constraints by Li Lin, Chen Yongqiang

“…Based on the characteristics of the problem, a genetic algorithm is proposed as a tool for solving, and the encoding and decoding in the algorithm are specially designed for the detection base to ensure the generation of feasible solutions; Introducing roulette wheel to select populations, combining the characteristics of the problem to randomly mutate chromosomes, and using POX for chromosome crossover, in order to obtain the optimal solution to the problem. …”
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Addressing data scarcity in speech emotion recognition: A comprehensive review by Samuel Kakuba, Dong Seog Han

“…These signals encode complex relationships between features at multiple time scales, effectively reflecting a speaker’s emotional state. …”
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Advances in Surface-Enhanced Raman Spectroscopy for Therapeutic Drug Monitoring by Huasheng Lai, Xinlan Wang, Menghan Qi, Hao Huang, Bingqiong Yu

“…This review examines the latest advancements in SERS substrates and their applications in TDM, highlighting the innovations in substrate design that enhance detection sensitivity and selectivity. We discuss the challenges faced by SERS for TDM, such as substrate signal reproducibility and matrix interference from complex biological samples, and explore solutions like digital colloid-enhanced Raman spectroscopy, enrichment detection strategies, microfluidic SERS, tandem instrument technologies, and machine learning-enabled SERS. …”
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Exploring cluster formation in uranium oxidation using high resolution X-ray spectroscopy at elevated temperatures by Elena F. Bazarkina, Stephen Bauters, Yves Watier, Stephan Weiss, Sergei M. Butorin, Kristina O. Kvashnina

“…Understanding its high-temperature behavior is crucial for developing new uranium-based materials and improving nuclear fuel efficiency in nuclear reactors. Here we study the evolution of uranium state during the oxidation of UO2 in air at temperatures up to 550 °C using the in situ X-ray absorption spectroscopy in high energy resolution fluorescence detection mode at the U M4 edge, combined with electronic structure calculations. …”
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Automatic mouse ultrasound detector (A-MUD): A new tool for processing rodent vocalizations. by Sarah M Zala, Doris Reitschmidt, Anton Noll, Peter Balazs, Dustin J Penn

“…Manually processing complex vocalization data is time-consuming and potentially subjective, and therefore, we developed an algorithm that automatically detects mouse ultrasonic vocalizations (Automatic Mouse Ultrasound Detector or A-MUD). …”
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TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…In the problem of anchor bolt (cable) stress prediction in coal mine roadways, model training often involves complex optimization tasks such as hyperparameter tuning and learning rate selection. …”
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BIOTHREAT EARLY ASSIST AND RESPONSE COMMAND SYSTEM (BEAR-CS) by Rexhep Mustafovski, Aleksandar Risteski, Tomislav Shuminoski

“…The system represents a significant step forward in ensuring operational safety and adapting to the complex threat landscape of modern warfare.…”
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AI Techniques and Applications for Online Social Networks and Media: Insights From BERTopic Modeling by Prema Nedungadi, G. Veena, Kai-Yu Tang, Remya R. K. Menon, Raghu Raman

“…Emerging technologies like Artificial Real Intelligence (ARI), which simulate human reasoning and decision-making, could further improve the management of complex online interactions. The study highlights the need for scalable AI methodologies, such as multitask learning frameworks, to efficiently handle the vast amounts of real-time data generated by social media while addressing cross-platform adaptability and computational efficiency.…”
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A crosslinked eutectogel for ultrasensitive pressure and temperature monitoring from nostril airflow by Tao Liu, Qinan Wu, Huansheng Liu, Xiyang Zhao, Xin Yi, Jing Liu, Zhenzhen Nong, Bingpu Zhou, Qingwen Wang, Zhenzhen Liu

“…However, the developed methods only rely on single stimulus sensing for nostril airflow, which is extremely susceptible to interference in the complex environment, and severely affects the accuracy of detection results. …”
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YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

“…To overcome the limitations of current behavioral analysis systems in balancing computational efficiency and detection accuracy, this study develops an optimized deep learning framework named YOLOv8-BCD specifically designed for ovine posture recognition. …”
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The Design of a Vision-Assisted Dynamic Antenna Positioning Radio Frequency Identification-Based Inventory Robot Utilizing a 3-Degree-of-Freedom Manipulator by Abdussalam A. Alajami, Rafael Pous

“…In contemporary warehouse logistics, the demand for efficient and precise inventory management is increasingly critical, yet traditional Radio Frequency Identification (RFID)-based systems often falter due to static antenna configurations that limit tag detection efficacy in complex environments with diverse object arrangements. …”
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Determination of Phenylurea Herbicides in Water Samples by Magnet-Integrated Fabric Phase Sorptive Extraction Combined with High Performance Liquid Chromatography by Natalia Manousi, Apostolia Tsiasioti, Abuzar Kabir, Erwin Rosenberg

“…The adsorption and desorption step of the MI-FPSE protocol was optimized to achieve high extraction efficiency and the MI-FPSE-HPLC-DAD method was validated in terms of linearity, sensitivity, selectivity, accuracy, and precision. …”
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Comparative analysis of security models in cloud platforms by Semen M. Levin

“…The article sheds light on current trends and technologies in cloud data protection, including the use of artificial intelligence and machine learning to enhance threat detection efficiency and the implementation of confidential computing and blockchain technologies to improve data protection. …”
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Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

“…In data science and machine learning, efficient and scalable algorithms are paramount for handling large datasets and complex tasks. …”
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An Intelligent Inspection and Scheduling Algorithm for Integrated Pipe Gallery Based on Cloud Robot by ZHOU Xiwei, SHANG Xiao, SHANG Xinjuan, YAN Maode, WANG Fafa

“…With the cooperation of advanced sensing technology, cloud robot technology for dynamically offloading complex data tasks to cloud processing can improve information transfer efficiency and enhance intelligence level of inspection robot system. …”
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SciBERT Optimisation for Named Entity Recognition on NCBI Disease Corpus with Hyperparameter Tuning by Abu Salam, Syaiful Rizal Sidiq

“…Named Entity Recognition (NER) in the biomedical domain faces complex challenges due to the variety of medical terms and their context of use. …”
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