Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…This study provides an effective way to establish shape index and carry out shape evaluation research of Daiqu large yellow croaker.…”
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Detection of anthropogenic noise pollution as a possible chronic stressor in Antarctic Specially Protected Area N°150, Ardley Island by Maximiliano Anzibar Fialho, Martín Rocamora, Lucía Ziegler

“…We cross-validate the detection algorithm with human perception classification of the source presence in the recordings, obtaining a Pearson correlation coefficient of 0.61 between the two methods. …”
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Electrochemical–Thermal Modeling of Lithium-Ion Batteries: An Analysis of Thermal Runaway with Observation on Aging Effects by Milad Tulabi, Roberto Bubbico

“…The increasing demand for energy storage solutions, particularly in electric vehicles and renewable energy systems, has intensified research on lithium-ion (Li-ion) battery safety and performance. …”
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A Gamified AI-Driven System for Depression Monitoring and Management by Sanaz Zamani, Adnan Rostami, Minh Nguyen, Roopak Sinha, Samaneh Madanian

“…One of its key strengths is a research-ready design that enables real-time simulation, algorithm testing, and hypothesis exploration without relying on large-scale human trials. …”
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Forecasting O3 and NO2 concentrations with spatiotemporally continuous coverage in southeastern China using a Machine learning approach by Zeyue Li, Jianzhao Bi, Yang Liu, Xuefei Hu

“…Existing methods, including chemical transport models (CTMs) and time series at air monitoring sites, forecast O3 and NO2 concentrations either with nontrivial uncertainty or without spatiotemporally continuous coverage. In this research, we adopted a forecasting model that integrates the random forest algorithm with NASA’s Goddard Earth Observing System “Composing Forecasting” (GEOS-CF) product. …”
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FCA-STNet: Spatiotemporal Growth Prediction and Phenotype Extraction from Image Sequences for Cotton Seedlings by Yiping Wan, Bo Han, Pengyu Chu, Qiang Guo, Jingjing Zhang

“…To address the limitations of the existing cotton seedling growth prediction methods in field environments, specifically, poor representation of spatiotemporal features and low visual fidelity in texture rendering, this paper proposes an algorithm for the prediction of cotton seedling growth from images based on FCA-STNet. …”
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Fish species identification on low resolution—a study with enhanced super-resolution generative adversarial network (ESRGAN), YOLO and VGG-16 by Subhrangshu Adhikary, Saikat Banerjee, Rajani Singh, Ashutosh Dhar Dwivedi

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Secondary Frequency Control of Islanded Microgrid Based on Deep Reinforcement Learning by Li WANG, Yuxiang JIANG, Xiangjun ZENG, Bin ZHAO, Junhao LI

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Radioactive Source-Detector System: Design and Monte Carlo Opinion by Zainab kareem Ali, Ali N. Mohammed

“… In the current research, a computer simulation program was designed and written according to the Monte Carlo method to serve as a virtual practical system instead of a real one. …”
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Treatment of recurrent ureteral stricture after kidney transplantation with nitinol stent by A. V. Shabunin, G. M. Chechenin, P. A. Drozdov, I. V. Nesterenko, S. A. Astapovich, E. A. Lidzhieva

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Integrated Design and Experiment of a Micro-Vibration Isolation and Pointing Platform for Large Space Optical Payloads Based on Voice Coil Motors by Yilin Guo, Jian Zhou, Zehao Gao, Bo Feng, Minglong Xu

“…Furthermore, the PID control algorithm exhibits enhanced isolation performance at low frequencies and facilitates directional tracking of target signals.…”
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A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction by Gao Wang, Shuang Xu, Zixu Chen, Youzhu Li

“…This study proposes a hybrid forecasting model integrating variational mode decomposition (VMD), the Fruit Fly Optimization Algorithm (FOA), and a gated recurrent unit (GRU). …”
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Data-Driven Approaches to Mining Passenger Travel Patterns: “Left-Behinds” in a Congested Urban Rail Transit Network by Xing Chen, Leishan Zhou, Zixi Bai, Yixiang Yue, Bin Guo, Hanxiao Zhou

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Low‐carbon economic operation of multi‐energy microgrid based on multi‐level robust optimisation by Wenwen He, Xiong Wu, Xiaofei Li, Mingkang He, Binrui Cao, Xiuli Wang

“…Abstract The economic and low‐carbon operation strategy of multi‐energy microgrids (MEM) has become an important research topic in smart grids. The operation of MEM is affected by uncertain factors from renewable energy and internal load. …”
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Image Coding Based on Contourlet Transformation by Sahlah Abd Ali Al-hamdanee, Eman Abd Elaziz, Khalil Alsaif

“…The interest in coding was very high because it is widely relied on in the security of correspondence and in the security of information in addition to the need to rely on it in the storage of data because it leads to a pressure in the volume of information when storing it. In this research, image transformation was used to encode gray or color images by adopting parameters elected from contourlet transformations for image. …”
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A Novel PAPR in OTFS Systems Through ISSA-PTS and ISPR Techniques by Gerges Mansour Salama, Amira A. Mohamed, Aziza I. Hussein, M. Mourad Mabrook

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Evaluating the Surface Free Energy and Moisture Sensitivity of Warm Mix Asphalt Binders Using Dynamic Contact Angle by Muhammad Rafiq Kakar, Meor Othman Hamzah, Mohammad Nishat Akhtar, Junita Mohamad Saleh

“…The surface free energy of Cecabase-modified binders was then computed by developing a dedicated algorithm using the C++ program. The analytical measurements such as the spreadability coefficient, work of adhesion, and compatibility ratio were used to analyze the results. …”
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Comprehensive Review of Robotics Operating System-Based Reinforcement Learning in Robotics by Mohammed Aljamal, Sarosh Patel, Ausif Mahmood

“…We base our evaluation on the application area, type of RL algorithm used, and degree of ROS–RL integration. Additionally, we provide summary of seminal works that define the current state of the art, along with GitHub repositories and resources for research purposes. …”
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Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach. by Josh L Espinoza, Chris L Dupont, Aubrie O'Rourke, Sinem Beyhan, Pavel Morales, Amy Spoering, Kirsten J Meyer, Agnes P Chan, Yongwook Choi, William C Nierman, Kim Lewis, Karen E Nelson

“…To better combat the expansion of antibiotic resistance in pathogens, new compounds, particularly those with novel mechanisms-of-action [MOA], represent a major research priority in biomedical science. However, rediscovery of known antibiotics demonstrates a need for approaches that accurately identify potential novelty with higher throughput and reduced labor. …”
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Quantitative evaluation and obstacle factor diagnosis of drug regulatory capacity in China. by Mingming Zhai, Liwen Huang, Shijie Sun, Liying Cao, Xueqiong Yue, Yuanxia Hu

“…<h4>Methods</h4>Using the methods of literature research, expert interviews, investigation and analysis, the quantitative evaluation indicator system of supervision ability was established in all directions; the indicator data were collected and quantified; the indicator weight setting algorithm of the evaluation system was improved and the indicator weight was set by combining AHP and entropy method; the differences among eastern, central, and western provincial-level regions were analyzed by variance analysis; panel data were constructed for spatio-temporal evolution analysis; obstacle factor diagnosis model was used to analyze the obstacle factors.…”
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