Advancing Underwater Vision: A Survey of Deep Learning Models for Underwater Object Recognition and Tracking by Mahmoud Elmezain, Lyes Saad Saoud, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain

“…Underwater computer vision plays a vital role in ocean research, enabling autonomous navigation, infrastructure inspections, and marine life monitoring. …”
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A Koopman Reachability Approach for Uncertainty Analysis in Ground Vehicle Systems by Alok Kumar, Bhagyashree Umathe, Atul Kelkar

“…We propose a reachability analysis approach for evaluating the response of the vehicle dynamics, specifically addressing uncertainties in the initial states and model parameters. …”
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Quantitative identification and characterization of technological trends in the electric vehicle industry by Wonjun Choi, Hyunseok Park

“…This study aims to understand and characterize EV technological trends by combining EV patent citation and text data. The analysis of EV patent data was conducted using knowledge-persistence-based main path analysis and the latest topic modeling methodology, BERTopic, yielding a detailed showcase of technological trajectories according to a classification considering specific technologies. …”
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A BOX-YOLOv8 framework for automated hyperspectral core analysis by Hongyan Zhu, Anjie Li, Chengzhi Lin, Shuai Qin, Junhao Xie, Jackey J.K. Chai, Russell Rogers, Jun-Li Xu

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Analysis of spatial effects and influencing factors of rural industrial integration in China by Yuan Fang, Ying Yang

“…Based on the evaluation index system of rural industrial integration, the level of rural industrial integration of 31 provinces (municipalities and autonomous regions) in China is measured from 2012 to 2022; ArcGIS, exploratory spatial data analysis method, and Tobit model are used to classify the level of rural industrial integration, explore the spatial distribution characteristics, and analyse the influencing factors, respectively. …”
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Influence of green finance on agricultural green total factor productivity: a case study in China by Liang Chu, Liang Cheng, Yulong Gao, Huaiyue Deng, Qian Wang, Yaqiang Luo

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Comparative Analysis of YOLO-Based Algorithms for Vehicle Detection in Aerial Imagery by A. Dustali, M. Hasanlou, S. M. Azimi

“…The study examines the models using a standardized dataset of aerial images with varying illumination and weather conditions. …”
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Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

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Machine Learning Prognostic Model for Post-Radical Resection Hepatocellular Carcinoma in Hepatitis B Patients by Zhu D, Tulahong A, Abuduhelili A, Liu C, Aierken A, Lin Y, Jiang T, Lin R, Shao Y, Aji T

“…It accurately predicted 1-, 3-, and 5-year survival rates, with Area Under the Curve (AUC) values of 0.843, 0.797, and 0.758, respectively. Calibration curve analysis and Decision Curve Analysis (DCA) further validated the model’s predictive capability, suggesting its potential use in clinical decision-making.Conclusion: The study highlights the importance of BMI, ALB, SRM, and AJCC staging in predicting HBV-related HCC outcomes. …”
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Benchmark Dataset for AI-Driven Palm Tree Detection and Analysis in the UAE by M. Al-Saad, N. Aburaed, M. Q. Alkhatib, M. S. Zitouni, S. Almansoori, H. Al-Ahmad

“…YOLOv5s achieved outstanding performance, with an Average Precision (AP) of 96.6% and Average F1- score (AF) of 95.7%, demonstrating its effectiveness in accurately detecting and localizing palm trees. Moreover, model outputs are effectively integrated into Geographic Information Systems (GIS) for enhanced spatial analysis and monitoring.…”
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Model-based estimation of the state of vehicle automation as derived from the driver’s spontaneous visual strategies by Damien Schnebelen, Camilo Charron, Franck Mars

“…Analysis of the quality of predictions for the different models showed that the best result was obtained by considering both static and dynamic indicators. …”
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Development and validation of nomogram model predicting overall survival and cancer specific survival in glioblastoma patients by Yingming Mu, Junchi Luo, Tao Xiong, Junheng Zhang, Jinhai Lan, Jiqin Zhang, Ying Tan, Sha Yang

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Selection and study of methods for implementing a diagnostic model for compressor stations of the rocket and space complex by A. V. Burakov, R. R. Khotsky, L. G. Kuznetsov

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Efficient Differential Diagnosis using Cost-aware Active Testing by Emile van Gerwen, Leonardo Barbini, Michael Borth, Robert Passmann

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Modeling and Simulation of Internal Incipient Faults in Electrical Transformers Using a Bond Graph Approach by Arthur Cleary-Balderas, Gilberto Gonzalez-Avalos, Gerardo Ayala-Jaimes, Aaron Padilla Garcia

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Risk Assessment Model for Railway Track Maintenance Operations Based on Combined Weights and Nonlinear FCE by Rui Luan, Rengkui Liu

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Application model of “Internet+Marketing service” virtual robot under dung beetle optimizer algorithm by HE Wei, ZHOU Yutian, YU Yang, KANG Yumeng, ZHU Meng, QIAN Xusheng

“…Then, a virtual robot autonomous learning model was established based on deep Q network (DQN), and the DBO algorithm was introduced to efficiently optimize the model hyperparameters. …”
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De novo design of mIDH1 inhibitors by integrating deep learning and molecular modeling by Dingkang Sun, Lulu Xu, Mengfan Tong, Zhao Wei, Weitong Zhang, Jialong Liang, Xueying Liu, Yuwei Wang

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Comparison of EfficientNet CNN models for multi-label chest X-ray disease diagnosis by Murat Ucan, Buket Kaya, Osman Aygun, Mehmet Kaya, Reda Alhajj

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A survey of backdoor attacks and defences: From deep neural networks to large language models by Ling-Xin Jin, Wei Jiang, Xiang-Yu Wen, Mei-Yu Lin, Jin-Yu Zhan, Xing-Zhi Zhou, Maregu Assefa Habtie, Naoufel Werghi

“…Finally, we extend our research perspective to the domain of large language models (LLMs) and synthesize the characteristics and developmental trends of backdoor attacks and defense methods targeting LLMs. …”
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