Analysis of Pre- and during COVID-19 Mixed Load Models on Unbalanced Radial Distribution System Using a New Metaphor-Less Rao Optimization by Jitendra Singh Bhadoriya, A. R. Gupta, Baseem Khan

“…This research implements a unique Rao algorithm without metaphors for the optimal allocation of multiple distributed generation (DG) and distribution static compensators (DSTATCOM). …”
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Advanced heart disease classification based on multi-channel heart sound coupling features. by Yu Fang, Dongbo Liu, Zijian Guo, Hongxia Leng, Xing Liu, Xiaochen Wu

“…These five-channel signals are systematically paired to extract five types of coupling features, resulting in 130 distinct features per multi-channel sample. The ReliefF algorithm is then used to evaluate feature importance, retaining the top 20% of features to construct a coupling feature set. …”
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Low-Light Image Enhancement via New Intuitionistic Fuzzy Generator-Based Retinex Approach by M. S. Ragavendirane, S. Dhanasekar

“…Experimental results demonstrate that the proposed algorithm consistently outperforms existing image enhancement methods, yielding images that maintain optimal balance in contrast level and detail using standard full referral metrics such as absolute mean brightness error, mutual information, peak signal to noise ratio, and non-referral metrics like entropy, contrast per pixel, spatial frequency, blind reference less image spatial quality evaluator, and mean intensity gradient.…”
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Markov approach for inventory control with meta-heuristics in intermittent demand environment. by Ferhat Yuna, Burak Erkayman, Mustafa Yılmaz

“…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. The inventory management process of intermittent demand was first evaluated without the Markov approach, and then the Markov approach was included in the process. …”
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A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

“…The multi-criteria decision-making method, technique for order of preference by similarity to ideal solution, is applied to evaluate the results by considering all key influence criteria on the system’s performance. …”
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Stability Analysis and Support Optimization of Tunnel Surrounding Rock with Weak Interlayer Based on Catastrophe Theory by Tuo Zhang, Jinhai Zhao, Renfei Kuang, Chengyang Li

“…A tunnel excavation model with weak interlayers is established to analyze the effect of different angles and thicknesses on the displacement of the surrounding rock. …”
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Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis by Fumio Nakaki, James Sharpe

“…Sample-multiplexing scRNA-seq (mx-scRNA-seq) enables us to evaluate large numbers of different samples or experiments simultaneously by reducing the occurrence of undetectable multiplets. …”
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WisdomModel: convert data into wisdom by Israa Mahmood, Hasanen Abdullah

“…Findings – The authors have evaluated the WisdomModel using different measures such as accuracy, recall, precision, f-measure, receiver operating characteristics (ROC) curve, area under the curve (AUC) and error rate with various data sets to prove its ability to generalize without human involvement. …”
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Prediction of success in assisted reproductive technology with the help of morphology of the testis by N. G. Kulchenko

“…The results of morphological studies in these men showed a different degree of violation of spermatogenesis. Based on the study, a diagnostic algorithm of patients with male infertility is proposed, which allows to predict the success of ART taking into account morphological changes in the testicle.Conclusion. …”
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Hybrid adaptive method for lane detection of degraded road surface condition by Khaled H. Almotairi

“…Subsequently, numerical features about the boundaries of the candidate lanes are extracted and used by a model of the k-nearest neighbor algorithm and the Gaussian process for final lane discovery. …”
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DRL-based Joint Beamforming and Power Allocation in Beyond Diagonal Reconfigurable Intelligence Surface 6G Systems by Mousa Abdollahvand, Sima Sobhi-givi

“…Additionally, we analyze the convergence speed and performance trade-offs of different DRL algorithms, emphasizing the importance of selecting the appropriate algorithm and hyper-parameters for specific applications. …”
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Optimizing decentralized implementation of state estimation in active distribution networks by Mohammad Gholami, Aref Eskandari, Sajjad Fattaheian‐Dehkordi, Matti Lehtonen

“…For this purpose, initially, an algorithm is used to partition the network into all possible configurations with different sizes. …”
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Single image de-raining by multi-scale Fourier Transform network. by Chaobing Zheng, Yao Yao, Wenjian Ying, Shiqian Wu

“…Finally, a multi-scale neural network incorporating attention mechanisms at different scales is applied to further refine the processed features, enhancing the robustness of the algorithm. …”
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Are Suggested Hiking Times Accurate? A Validation of Hiking Time Estimations for Preventive Measures in Mountains by Marco Vecchiato, Nicola Borasio, Emiliano Scettri, Vanessa Franzoi, Federica Duregon, Sandro Savino, Andrea Ermolao, Daniel Neunhaeuserer

“…Traditional mountain signage and online platforms provide generalized hiking time recommendations, often lacking personalization. This study aims to evaluate the variability in hiking time estimates from different methods and assess the potential of a novel algorithm, MOVE, to enhance accuracy and safety. …”
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An analysis of the relationship of triglyceride glucose index with diffuse large B-cell lymphoma prognosis: a retrospective study by QingQing Luo, Zhixiang Lei, Haizhou Miao, Ting Huang, Li Yu

“…Subgroup analyses were conducted to assess the prognostic value of the TyG index across different patient subgroups. Finally, a nomogram model based on the TyG index was developed, and its predictive performance was evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, and decision curve analysis (DCA).ResultsA total of 186 DLBCL patients were included in this study. …”
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Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression. by Jie Chu, Hanying Song, Kemin Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng

“…Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…”
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Fully-automated segmentation of muscle and inter-/intra-muscular fat from magnetic resonance images of calves and thighs: an open-source workflow in Python by Kenneth Tam, Si Wen Liu, Sarah Costa, Eva Szabo, Shannon Reitsma, Hana Gillick, Jonathan D. Adachi, Andy Kin On Wong

“…Robustness and versatility of the algorithm was demonstrated by application to different MR sequences/magnetic strength and to calf versus thigh scans. …”
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Intrusion detection system based on machine learning using least square support vector machine by Pratik Waghmode, Manideep Kanumuri, Hosam El-Ocla, Tanner Boyle

“…In this paper, the exhaustive feature selection algorithm is employed to assess every possible combination of features in a dataset to evaluate its performance. …”
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Interannual changes of carbon storage in mangrove forests in Futian based on WorldView-3 remote sensing images by HU Liuliu1, TAN Min2, LUO Qin2, HUANG Zijian2, XIANG Xuelian2, LI Buhang2, YU Shixiao2, WU Zefeng1, YANG Qiong1, HU Ping1*

“…These results provide foundational data for evaluating the carbon sequestration capacities of different dominant communities in Futian mangrove, in tandem with scientific support for subsequent mangrove restoration and management.…”
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Does machine learning outperform logistic regression in predicting individual tree mortality? by Aitor Vázquez-Veloso, Astor Toraño Caicoya, Felipe Bravo, Peter Biber, Enno Uhl, Hans Pretzsch

“…Here, we compare the performance of five different ML algorithms (Decision Trees, Random Forest, Naive Bayes, K-Nearest Neighbour, and Support Vector Machine) against Logistic binomial Regression in individual tree mortality classification under 40 different case studies and a cross-validation case study. …”
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