Performance Assessment of Solar-Transformer-Consumption System Using Neural Network Approach by Ritu Gupta, Ekata, C.M. Batra

“…MATLAB code for FFBP algorithm is built to improve the values of reliability and cost function by minimizing the error up to 0.0001 precision. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Analysis of inductive power transfer systems by metamodeling techniques by Pei, Yao, Pichon, Lionel, Bensetti, Mohamed, Le Bihan, Yann

“…According to the comparison of Support Vector Regression, Multigene Genetic Programming Algorithm, and sparse Polynomial Chaos Expansions (PCE), sparse PCE is recommended for the analysis due to the tradeoff between the computational time and the accuracy of the metamodel.…”
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TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model by Zhixiang Zhang, Tong Liu, Jinyu Gao, Meng Yang, Wenjun Luo, Fanqiang Lin

“…Employing the quad-tree spatial hierarchy search strategy, guided filtering, tolerance mechansim, and multi-scale color restoration (MSRCR) algorithm, an innovative improved version of DCP dehazing algorithm is realized. …”
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Path planning of coal mine rescue robot based on blocked grid map by Xiaoqiang SHAO, Mingqian LIU, Bo MA, Hao LI, Zhiyue LYU, Zehui HAN

“…To address the issues of coal mine rescue robots’ path planning algorithms taking too long, producing too many redundant points, and easily falling into deadlock in complex underground environments, a grid map blocking algorithm based on type matching is proposed. …”
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Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…Children must have a varied diet to ensure they receive all the essential nutrients for good health. Unfortunately, many children in Ethiopia lack access to a range of foods, which can lead to malnutrition and other health issues. …”
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Clustering Iranian women according to their menopausal severity symptoms and exploring the factors associated with severe categories, using baseline category logit model by Fahimeh Hoseinzadeh, Habibollah Esmaily, Sedigheh Ayatiafin, Azadeh Saki

“…Abstract Introduction Many studies reported that the factors associated with the intensity of menopausal symptoms vary according to race, culture, and ethnicity. …”
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A Quality Soft Sensing Method Designed for Complex Multi-process Manufacturing Procedures by Kaixiang PENG, Xin QIN, Jiahao WANG, Hui YANG

“…To further verify the effectiveness of the proposed multi-sensor process variable selection method, comparative tests are conducted using the four correlation-based feature selection algorithms (PCC, SCC, MI, and MIC) with the same number of selected features for each algorithm. …”
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A Solar Photovoltaic Performance Monitoring and Statistical Forecasting Model Using a Multi-Layer Feed-Forward Neural Network and Artificial Intelligence by G. Kumaravel, S. Kirthiga, Mohammed Mahmood Hamed Al Shekaili, Qais Hamed Saif Abdullah AL Othmani

“…However, in real-time applications, many environmental factors affect the efficiency of the solar panel and therefore its performance. …”
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An interior proximal gradient method for nonconvex optimization by De Marchi, Alberto, Themelis, Andreas

“…Our interior proximal gradient algorithm benefits from warm starting, generates strictly feasible iterates with decreasing objective value, and returns after finitely many iterations a primal-dual pair approximately satisfying suitable optimality conditions. …”
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Dual-Language Sentiment Analysis: A Comprehensive Evaluating SVM, Logistic Regression, XGBoost, and Decision Tree Using TF-IDF On Arabic and English Dataset by Hawraa Ali Taher

“…It is focused on the automatic extraction of viewpoints presented in a certain text. Many studies have been conducted in the area of sentiment analysis because to its broad uses, particularly on texts in English, whereas other languages like Arabic have gotten less attention. …”
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Malware Classification Using Few-Shot Learning Approach by Khalid Alfarsi, Saim Rasheed, Iftikhar Ahmad

“…Hardware Performance Counter data are used by machine learning algorithms in security mechanisms, such as hardware-based malware detection, to categorize and detect malware. …”
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An Identity Management Scheme Based on Multi-Factor Authentication and Dynamic Trust Evaluation for Telemedicine by Yishan Wu, Mengxue Pang, Jianqiang Ma, Wei Ou, Qiuling Yue, Wenbao Han

“…By integrating ShangMi cryptographic algorithms and blockchain, it optimizes performance, achieving 35% lower communication overhead than previous protocols. …”
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Hybrid ANN-Based and Text Similarity Method for Automatic Short-Answer Grading in Polish by Marwah Bani Saad, Lidia Jackowska-Strumillo, Wojciech Bieniecki

“…While electronic choice surveys have long been used in many web applications, automatic scoring of open-ended responses remains an interesting research problem in natural language processing. …”
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The maximum range method for finding initial basic feasible solution for transportation problems by Fredrick Asenso Wireko, Ignatius Dennis Kwesi Mensah, Emmanuel Nii Apai Aborhey, Samuel Adu Appiah, Charles Sebil, Joseph Ackora-Prah

“…The observation was that the proposed algorithm in many cases produced an optimal initial basic feasible solution (IBFS) for both balanced and unbalanced transportation problems and also tend to have a very high average of correctness percentage compared to some existing algorithms.…”
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Multi-Beam Focusing and Deflecting Characteristics of Liquid Crystal Optical Phased Array by Xue Xu, Lin Xu, Xitong Liang, Jun Dai

“…As a programmable optical device, a liquid crystal optical phased array (LCOPA) has many unique applications. Multi-beam fan-out is one of the novel application cases. …”
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Flexible and Scalable Particle‐in‐Cell Methods With Adaptive Mesh Refinement for Geodynamic Computations by Rene Gassmöller, Harsha Lokavarapu, Eric Heien, Elbridge Gerry Puckett, Wolfgang Bangerth

“…We also provide guidance for how to address bottlenecks that impede the efficient implementation of these algorithms and demonstrate with numerical tests that our algorithms can be implemented with optimal complexity and that they are suitable for large‐scale, practical applications. …”
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Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization by Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ghanshyam G. Tejani, Aseel Smerat, Pankaj Kumar, Ephraim Bonah Agyekum

“…Abstract Metaheuristic optimization algorithms play a crucial role in solving complex real-world problems, including machine learning parameter tuning, yet many existing approaches struggle with maintaining an effective balance between exploration and exploitation, leading to premature convergence and suboptimal solutions. …”
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An Innovative Differentiated Creative Search Based on Collaborative Development and Population Evaluation by Xinyu Cai, Chaoyong Zhang

“…Metaheuristic algorithms have proven highly effective in addressing a wide range of engineering issues. …”
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Research on the Transformer Failure Diagnosis Method Based on Fluorescence Spectroscopy Analysis and SBOA Optimized BPNN by Xueqing Chen, Dacheng Li, Anjing Wang

“…Based on various preprocessed and dimensionally reduced data, transformer failure diagnosis models based on the particle swarm optimization algorithm (PSO) and the secretary bird optimization algorithm (SBOA) optimized BPNN are established to quantitatively analyze the state of insulating oil and predict the durations of transformer failure. …”
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