Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach by Muhammad Khalid Hamid, Said Khalid Shah, Ghassan Husnain, Yazeed Yasin Ghadi, Shahab Ahmad Al Maaytah, Ayman Qahmash

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Representative Model of Economic Development for an Agricultural Enterprise in the Context of Socioeconomic Rural Space Formation by Vasyl D. Zalizko, Igor L. Fedun, Valentyn I. Martynenkov

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Analysis of a mathematical model for the spreading of the monkeypox virus with constant proportional-Caputo derivative operator by Jutarat Kongson, Chatthai Thaiprayoon, Weerawat Sudsutad

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College psychological stress assessment system based on LabVIEW and WTA integration by Ting Wang

“…The experimental results show that during the iterative training process, the training error of the research algorithm reaches 10–5 at the 200th iteration. …”
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Advanced Frequency Analysis of Signals with High-Frequency Resolution by Patrik Flegner, Ján Kačur, Milan Durdán, Marek Laciak, Rebecca Frančáková

“…As part of this scientific research, the issues of frequency zoom were thoroughly addressed, solving the partial problems of this algorithm, both in theory and in the context of signal theory.…”
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Levenberg-Marquardt Algorithm-Based Neural Network Smart Control Strategy for a Low-Input Current Ripple and High-Voltage Gain Power Converter in Fuel-Cells Energy Systems by Mustafa Ozden, Davut Ertekin, Pierluigi Siano

“…The control process of this proposed converter is executed using an artificial neural network based on the Levenberg-Marquardt learning algorithm. The primary difference in this research lies in obtaining the artificial neural network-based controller directly from the circuit’s characteristic equations, rather than generating it through another controller. …”
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Enhancing Railway Earthquake Early Warning Systems with a Low Computational Cost STA/LTA-Based S-Wave Detection Method by Satoshi Katakami, Naoyasu Iwata

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Operational strategies to the mechanical performance assessment of concrete with the neural network and artificial intelligence by Hadi Faghihmaleki, Mehdi Ghadiri

“…The use of artificial intelligence as a modern method has a special place in engineering sciences. In this research, the data used were first normalized and then the desired data were trained using the Lorenberg Marquardt algorithm.Findings: The evaluation criteria of artificial neural network models were obtained using evaluation and error and the results showed that the use of 10 hidden layers had the highest correlation coefficient and the lowest error. …”
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ADVANCEMENTS IN TRANSFER LEARNING: A COMPREHENSIVE REVIEW OF NOVEL APPROACHES FOR MRI BRAIN IMAGE DIAGNOSIS by Diyar Waysi, Berivan Tahir Ahmed, Hajar Maseeh Yasin

“…In this literature review, the potential of MRI scans in classifying and detecting various medical conditions, such as glioma and Alzheimer’s, is discussed alongside current algorithmic limitations. Current research indicates potential challenges in adapting existing supervised deep learning algorithms that process MRI images to more efficient approaches. …”
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Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology by Yali Wang, Weiwei Zhou, Yingji Li, Jingqi Sun

“…Next, the decision tree algorithm is introduced to visually demonstrate the classification and decision-making process, optimizing the classification operation. …”
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Light-GBM based minority oversampling model using biomedical data analysis for breast cancer classification by Mukesh Soni, Mohammed Wasim Bhatt, Paul Ofori-Amanfo

“…In the Sparrow Search Algorithm (SSA), piecewise linear chaotic map (PWLCM), novel inertia weights, and a new longitudinal-lateral crossover algorithm are introduced for improvement, followed by the application of the improved SSA algorithm for automatic parameter optimization of Light-GBM. …”
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An overview of distributed economic dispatch of microgrids: advances and challenges by Lei Sun, Wenjing An, Yangkai Chen, Peifeng Zhao, Derui Ding

“…Furthermore, deep insights are provided to reveal the intrinsic mechanism and exceptional performance of various DED algorithms. A brief outline of prospective research directions is provided based on the reviewed literature, which includes DED issues with non-convex and multi-objective functions, fast DED algorithms and DED algorithms without initialization.…”
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Mitigating Dead Node Impact on Coverage and Connectivity in Wireless Sensor Networks Using a Hybrid Approach by Omeed K. Khorsheed

“…This research introduces a hybrid Artificial Bee Colony-Sequential Re-connectivity and Coverage Algorithm (ABC-SRCA) approach, combining the ABC algorithm with a developed SRCA. …”
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Structural Analysis and 3D Reconstruction of Underground Pipeline Systems Based on LiDAR Point Clouds by Qiuyao Lai, Qinchuan Xin, Yuhang Tian, Xiaoyou Chen, Yujie Li, Ruohan Wu

“…Despite its importance, research on the structural analysis and reconstruction of underground pipelines remains limited, primarily due to the complexity of underground environments and the technical constraints of LiDAR technology. …”
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An Improved Method for Estimating Sea Surface Temperature Based on GF-5A Satellite Data in Bohai Bay by Jiren Sun, Daoming Wei, Dianjun Zhang, Zhiwei Sun

“…To solve the problem of the low resolution of SST data used in coastal research, this study proposed a split window algorithm by adjusting the two important parameters, atmospheric transmittance and regression coefficients, to estimate SST using remotely sensed GF-5A images with a resolution of 100 m. …”
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Deep-Learning Approach for an Analysis of Real-Estate Prices and Transactions by Cheng-Hong Yang, Borcy Lee, Yu-Da Lin

“…Research on the study of houses, condominiums and buildings in Taiwan’s metropolitan areas continues to be an important area of research. …”
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Design of multi-bandgap metamaterial plate based on composite cylindrical resonators by Zhi Miao, Jianfei Yin, Yu Yang, Yibo Ke, Zhoufu Zheng, Xiaoming Geng, Qian Wang

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Development of methodology of experimental studies of control in crystallization of castings by optimizing the thermophysical properties of the elements of the gating system by Yu. N. Fasevich, F. I. Rudnitsky

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water resources Optimal design of sewage networks for Al-Jaffryah Quarter and Al-Kut Trade Center using genetic algorithms and spectral analysis of the river to know the effect of... by marwa kareem, Mohammed S. Shamkhi

“…For this aim, an adaptive model of the Genetic Algorithm (GA) of efficient and effective optimization design with a consistent layout is proposed. …”
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Novel barrier-reinforcing method based on mobile nodes re-deployment in WSN by Guoyong DAI, Weiyuan SHI, Kezhen YING, Qingzhang CHEN, Keji MAO

“…Barrier coverage in wireless sensor networks plays a key role in intrusion detection system.How to build a robust barrier is a key problem in this research area.In order to fix the weak points caused by nodes’ energy consumption,a reinforcing method was proposed to strengthen the barrier by re-deploying some mobile nodes,in which set-based max-flow algorithm was employed to calculate the number of weak points.The vulnerability degree of each weak point was analyzed so that the mobile nodes can move to these spots to reinforce the whole barrier.Experiment results show that the algorithm can effectively strengthen the barrier,extend the survival time of the barrier and the algorithm complexity is relatively lower.…”
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