Crop yield prediction using machine learning: An extensive and systematic literature review by Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, Fahima Lokman Niha, H.T. Zubair

“…In recent years, agriculture has gained much attention regarding forecasting and prediction with the advancement of artificial intelligence techniques. Advancements in Machine Learning (ML) have significantly improved agricultural activities. …”
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Hierarchical Sensing Framework for Polymer Degradation Monitoring: A Physics-Constrained Reinforcement Learning Framework for Programmable Material Discovery by Xiaoyu Hu, Xiuyuan Zhao, Wenhe Liu

“…This paper introduces a novel physics-informed deep learning framework that integrates multi-scale molecular sensing data with reinforcement learning algorithms to enable intelligent characterization and prediction of polymer degradation dynamics. …”
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Toward Digital Twin of Off-Road Vehicles Using Robot Simulation Frameworks by Arianna Rana, Antonio Petitti, Angelo Ugenti, Rocco Galati, Giulio Reina, Annalisa Milella

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Transmission scheme for collaborative‐RIS‐aided NOMA system with multiple channels by Heyi Li, Hong Wang, Peiqi Li, Peiyu Wang

“…In the second approach, a joint optimization algorithm that achieves the channel assignment vectors and the phase shift coefficients in an alternative manner, and a sub‐channel assignment algorithm based on the equivalent channel gain is developed. …”
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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…Hence, this research aims to generate an intelligent scheme that can recognize the presence of cracks and visualize the percentage of cracks from an image along with an explanation. …”
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The Impact of AI Software on Financial Transactions by Li Boyang

“…This paper explores AI’s applications in quantitative trading, risk forecasting, and intelligent customer interactions, demonstrating its ability to optimize decision-making and reduce operational costs. …”
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A deep neural network framework for estimating coastal salinity from SMAP brightness temperature data by Yidi Wei, Qing Xu, Qing Xu, Xiaobin Yin, Xiaobin Yin, Yan Li, Yan Li, Kaiguo Fan

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Energy-Efficient Resource Allocation for Near-Field MIMO Communication Networks by Tong Lin, Jianyue Zhu, Junfan Zhu, Yaqin Xie, Yao Xu, Xiao Chen

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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“…Emotion recognition through facial expression analysis holds significant importance in various fields, including the medical domain, where it is used for the early detection of affective disorders, monitoring the emotional state of patients, and improving human-machine interaction in Artificial Intelligence-assisted therapies. The integration of such solutions can contribute to the development of decision support systems in psychiatry, optimizing therapeutic strategies, and improving the quality of care for patients with neuropsychological conditions. …”
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Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications by Sinan Ibrahim, Mostafa Mostafa, Ali Jnadi, Hadi Salloum, Pavel Osinenko

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RTDU: Interpretable Region-Aware Transformer-Based Deep Unfolding Network for Pan-Sharpening by Shuo Wang, Genji Yuan, Jinjiang Li

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DenseIncepS115: a novel network-level fusion framework for Alzheimer's disease prediction using MRI images by Fatima Rauf, Muhammad Attique Khan, Ghassen Ben Brahim, Wardah Abrar, Areej Alasiry, Mehrez Marzougui, Seob Jeon, Yunyoung Nam

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Research on Sleeper Detection Scheme Based on Image and Laser Multi-data Fusion by LIU Yuanming, ZHANG Lei

“…This scheme combines the chaos enhanced drosophila optimization algorithm (CFOA) and the fuzzy clustering segmentation technology, expands the application scope of the algorithm, improves the accuracy of image recognition and anti-noise performance, and carries out multi-data fusion with the laser ranging sensor data. …”
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Electricity Demand Forecasting Using Deep Polynomial Neural Networks and Gene Expression Programming During COVID-19 Pandemic by Cagatay Cebeci, Kasım Zor

“…Therefore, the prediction of electricity demand will become crucial for resource optimization and grid stability. Machine learning- and artificial intelligence-based methods are widely studied by researchers to tackle the demand forecasting problem. …”
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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

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Nuevos modelos para la Caracterización, Detección y Diagnóstico de Fallas en Máquinas Eléctricas Rotativas by Jair Elías Araujo Vargas, Dilan Yesid Franklin Coronel, Victor Manuel Arias Ruiz

“…The main objective is to explore and propose new methodologies for characterizing faults in electric motors through the use of data analysis and machine learning techniques, reviewing traditional and current methods for fault diagnosis, including vibration analysis techniques and supervised and unsupervised learning algorithms. The potential of artificial intelligence algorithms to improve diagnosis and reduce subjectivity in data processing is also examined. …”
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Network access and spectrum allocation in next-generation multi-heterogeneous networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…By preprocessing of objective function, constraint simplification, and standardization, the complex spectrum allocation problem is transformed into a standard form of the 01 programming problem, and the solution is obtained by an improved Hungarian algorithm. Second, an intelligent optimization algorithm named improved non-dominated sorting genetic algorithm II is proposed, which combines the interference constraints of the primary network and the service quality requirements of the secondary users into the objective value evaluation of non-dominated sorting, and corrects the chromosomes that do not meet the constraints. …”
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Stability of Non-Uniform Soils Slope with Tension Cracks Under Unsaturated Flow Conditions by Jing Zhang, Jinyu Dong, Ying Zhao, Yukai Wang, Yang Cheng

“…According to the work–energy balance equation, the explicit expression about the slope factor safety for different crack types is obtained, which is formulated as a multivariate nonlinear optimization problem optimized by an intelligent optimization algorithm. …”
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MATHEMATICAL MODEL OF THE BIOTECHNIC SYSTEM CONTROLLED BY THE SYSTEM OF ANIMAL SYSTEM ON THE EXAMPLE OF INFRARED IRRADIATION OF PIG-REMOVAL by L. S. Gerasimovich, A. N. Kosko, A. V. Sinenkii

“…The developed principle of intelligent control allows optimal provision of comfortable conditions for keeping animals in real time. …”
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Research on Shortest Path Planning and Smoothing Without Obstacle Collision Based on Moving Carrier by Lingsong Di, Defeng Sun, Yahui Qi, Zhicai Xiao

“…In response to the challenges of path planning in complex scenarios, to overcome the influence of optimal path determination by the precision of grid map sizes, and to escape the uncertainty in solving by intelligent algorithms, this paper designs a method for obtaining an adjacency matrix based on node planning of shortest path diagrams with polygonal obstacles and then uses the Dijkstra algorithm to get the shortest path. …”
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