Optimized Captain Selection Using Diffusion-Based Player Behavior Synthesis and Multicriteria Decision Making With Intuitionistic Rough Fuzzy Under Dombi-AHP and PROMETHEE Methods by Ke Wang

“…In this article, we established a novel model by combining diffusion-based player behavior synthesis with multi-criteria decision-making (MCDM) approach; purposely, we use Dombi aggregation operators (AOs), analytical hierarchy process (AHP), and preference ranking organization method for enrichment evaluation (PROMETHEE) based on an intuitionistic rough fuzzy (IRF) framework. …”
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Optimizing pore pressure prediction in earth dams through the integration of panel data and intelligent models by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

“…Abstract Modern dam safety management requires comprehensive instrumentation systems to monitor structural behavior and process critical data. Such systems play a vital role in identifying both immediate anomalies and gradual trends that may indicate potential safety hazards. …”
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Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach by Hai-Bang Ly, Thuy-Anh Nguyen, Binh Thai Pham

“…In this study, machine learning models, namely, support vector machine (SVM), Gaussian regression process (GPR), and random forest (RF), were built based on a data set of 145 soil samples collected from the Da Nang-Quang Ngai expressway project, Vietnam. …”
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Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM by Nilesh Bhaskarrao Bahadure, Arun Kumar Ray, Har Pal Thethi

“…In this study, to improve the performance and reduce the complexity involves in the medical image segmentation process, we have investigated Berkeley wavelet transformation (BWT) based brain tumor segmentation. …”
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Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach by K. Sathish, C. V. Ravikumar, Asadi Srinivasulu, A. Rajesh, Olutayo Oyeyemi Oyerinde

“…A network path is chosen to send traffic by using the routing method, a process that is also known as a protocol. The routing protocols ad-hoc on-demand distance vector (AODV), dynamic source routing (DSR), dynamic manet on demand routing protocol (DYMO), location-aided routing 1 (LAR 1), optimized link state routing (OLSR), source-tree adaptive routing optimum routing approach (STAR-ORA), zone routing protocol (ZRP), and STAR-least overhead routing approach (STAR-LORA) are a few models of routing techniques. …”
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A Novel Approach to the Sintering Schedule of Ba (Co0.7Zn0.3)1/3Nb2/3O3 Dielectric Ceramics for Microwave Applications by Mohamed Mouyane, Brahim Itaalit, Jérôme Bernard, David Houivet

“…The relationships among the heat treatment process optimization, the structural, microstructural characteristics, and the microwave dielectric properties of the BCZN ceramics were investigated using X-ray diffraction, scanning electron microscopy, energy dispersion analysis, and vector network analysis. …”
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Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers by B. Shamreen Ahamed, Meenakshi S. Arya, S. K. B. Sangeetha, Nancy V. Auxilia Osvin

“…The Diabetes prediction process can be further improvised by identifying the type a person is being affected by and the probability of the occurrence of the related diseases. …”
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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

“…These drawbacks include difficulties in determining the appropriate dataset, the problem of feature selection, and the issue of the imbalanced dataset and choosing the appropriate algorithms for the classification process in WSN. In this paper, a model for an anomaly-based IDS in WSNs is proposed. …”
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Construction and application of luminescent strain of Pectobacterium carotovorum harboring luxCDABE operon by ZHONG Lingkun, XU Cuihong, HUANG Zeming, AN Qianli, LIANG Yan

“…In order to facilitate the observation of the pathogen infection process at the early stage and in vivo quantification of bacterial growth without the tissue extraction, we generated a P. carotovorum strain expressing the luxCDABE operon, which encodes a luciferase and enzymes that produce its substrate, thus bacteria that express this operon emit light spontaneously. …”
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Effect of Multifactor Interaction on the Accuracy of RV Reducers by Zihui Wang, Rui Xu, Jiabao Pan, Qingqing Chen, Jing Zhang, Jiugen Wang

“…The rotary vector (RV) reducer is one of the widely used mechanical components in industrial systems, specifically in robots. …”
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Research and Application of Medium Voltage Drive System in Multi-stand Hot Continuous Rolling Finishing Mill by NAN Yonghui, ZHANG Zhe, HE Chengzhao, ZHOU Zhenbang, LIU Jianping, ZHOU Weijun

“…Experimental results show that the proposed main drive system has superior dynamic and steady-state performances, the voltage harmonic content is less than 4%, the motor torque can respond to the sudden change of load, multiple motors can work stably, and the transmission system can fully meet the requirements of field hot continuous rolling process.…”
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Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems by Ali Wagdy Mohamed, Abdulaziz S. Almazyad

“…The proposed algorithm, namely, ANDE, introduces a new triangular mutation rule based on the convex combination vector of the triplet defined by the three randomly chosen vectors and the difference vectors between the best, better, and the worst individuals among the three randomly selected vectors. …”
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Graph-based two-level indicator system construction method for smart city information security risk assessment by Li Yang, Kai Zou, Yuxuan Zou

“…Many decision-makers are starting to alleviate the adverse effects of this informatization process through risk assessment. However, existing methods cannot effectively analyze internal and hierarchical relationships because of the excessive number of indicators. …”
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Continuous glucose data construction and risk assessment application of diabetic retinopathy complications for patients with type 2 diabetes mellitus by Yaguang Zhang, Liansheng Liu, Hong Qiao

“…Therefore, this article studies a fusion model to achieve this objective, including Gaussian process regression (GPR) and long short-term memory (LSTM). …”
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Design of Interactive Vocal Guidance and Artistic Psychological Intervention System Based on Emotion Recognition by Wenwen Mo, Yuan Yuan

“…The input data of the system is a training class learning video, and actions and expressions need to be recognized before scoring. In the simulation process, before the completion of the sample indicators is unbalanced, the R language statistical analysis tool is used to balance the existing unbalanced data based on the artificial data synthesis method, and 279 uniformly classified samples are obtained. …”
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The use of metaverses as a tool for shaping the image of an educational institution for technological leadership in the educational field by S. V. Panasenko, D. V. Fedyunin, M. V. Mostovoy, S. E. Suvorova

“…Based on the results of the study, conclusions are made about the need to build a balanced educational policy of higher educational institutions in Russia to implement a vector for technological leadership with the use of the capabilities of virtual spaces of metaverses and the development of preventive measures to avoid the risks and dangers associated with this process. …”
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Groundwater fluoride modeling using an artificial neural network: a review by Neeta Kumari, Gaurav Kumar, Saahil Hembrom

“…Inputs are selected through statistical analysis. The modeling process is carried out using the “nntool” in MATLAB software. …”
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Electric Submersible Pump Fault Diagnosis Based on Laplacian Eigenmaps and Weighted Extreme Learning Machine by XU Zekun, FU Jun, GAO Xiaoyong, ZHANG Yu, LI Qiang, TAN Chaodong

“…In response to the serious imbalance in the data collected by ESP, firstly, a fault diagnosis model is established using a weighted extreme learning machine; Then, to solve the problems of insufficient algorithm learning, high computational costs caused by weighted strategies, and poor performance in applying to high-dimensional feature spaces, the Laplacian eigenmaps method is introduced to further optimize the model; finally, the effectiveness of the proposed method was validated on the TE chemical process dataset, and the practicality of the algorithm was experimentally validated on the real-time fault dataset of electric submersible pump. …”
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On Characteristics of Symbolic Execution in the Problem of Assessing the Quality of Obfuscating Transformations by Petr D. Borisov, Yury V. Kosolapov

“…The extended scheme is closer to the process of analyzing a program by an analyst, since it includes the steps of disassembly and translation into intermediate code, while in the simplified scheme these steps are excluded. …”
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Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices by Valerius Owen, Nico Surantha

“…These are integrated with traditional machine learning models, such as Support Vector Machines, Random Forests, and XGBoost. These models were chosen for their ability to process detailed information from facial landmarks, head poses, PERCLOS, and POM. …”
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