Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…In addition, the multi-feature fusion and feature selection method is proposed to enhance the query cost information. …”
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Query scheduling based on cloud-edge multi-data warehouse architecture and cost prediction model by GAO Xuning, YANG Song, LI Mingzhe, ZHANG Yanfeng

“…In addition, the multi-feature fusion and feature selection method is proposed to enhance the query cost information. …”
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Offshoring Location Decision in Fuzzy Environment by Mehmet Şahin

“…A Fuzzy-AHP (analytical hierarchy process) integrated with the technique for order preference by similarity to ideal solution (TOPSIS), additive ratio assessment (ARAS), elimination et choix traduisant la realité (ELECTRE), and weighted sum method (WSM) methodology is proposed for the appraisal and selection of the optimal offshoring location. …”
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OPTIMIZING LONG TEXT CLASSIFICATION PERFORMANCE THROUGH KEYWORD-BASED SENTENCE SELECTION: A CASE STUDY ON ONLINE NEWS CLASSIFICATION FOR INDONESIAN GDP GROWTH-RATE DETECTION by Dinda Pusparahmi Sholawatunnisa, Lya Hulliyyatus Suadaa

“…Specifically, there was an average accuracy increase of 0.0226 for machine learning and 0.0164 for transfer learning models. Additionally, in terms of computational efficiency, sentence selection also accelerates processing time during hyperparameter tuning and fine-tuning, as observed using the same computational resources.…”
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Multipopulation Whale Optimization-Based Feature Selection Algorithm and Its Application in Human Fall Detection Using Inertial Measurement Unit Sensors by Haolin Cao, Bingshuo Yan, Lin Dong, Xianfeng Yuan

“…Experimental results indicate that the proposed method is superior to other well-known competitors in most cases. In addition, the proposed method is utilized to perform feature selection in human fall-detection tasks, and extensive real experimental results further illustrate the superior ability of the proposed method in addressing practical problems.…”
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Cryptic divergence in and evolutionary dynamics of endangered hybrid Picea brachytyla sensu stricto in the Qinghai-Tibet Plateau by Shengming Lu, Lian Liu, Weixiao Lei, Donglei Wang, Hui Zhu, Qing Lai, Liru Ma, Dafu Ru

“…The divergence event aligns well with the geographic and climatic oscillations that occurred across the distributional range during the Mid-Pleistocene epoch. Additionally, we identified numerous environmentally correlated gene variants, as well as many other genes showing signals of positive selection across the genome. …”
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Use of Indigenous Lactic Acid Bacteria for Industrial Fermented Sausage Production: Microbiological, Chemico-Physical and Sensory Features and Biogenic Amine Content by Federica Barbieri, Chiara Montanari, Chiara Angelucci, Fausto Gardini, Giulia Tabanelli

“…This study allowed us to select new LAB strains for fermented sausage starter cultures, increasing the product diversification.…”
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Genome-wide analysis provides insight into the genetic diversity and adaptability of Kazakhstan local goats by Nelly Kichamu, George Wanjala, Kairat Dossybayev, Zoltán Bagi, Bakhytzhan Bekmanov, Szilvia Kusza

“…Additionally, over 60% of these genes are co-expressed, suggesting their significant role in survival of these goats in their local environments. …”
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The Effect of Education Quality and Tuition Fees on School Selection Decisions Through Mediation of School Image at Citra Bangsa School Tangerang by Stephanie Tjay, Widi Dewi, Teguh Widodo

“…The results show that Educational Quality has a positive and significant effect on School Image and School Selection Decisions. Additionally, Educational Costs have a positive and significant effect on School Image and School Selection Decisions. …”
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Intrusion Detection Framework for Internet of Things with Rule Induction for Model Explanation by Kayode S. Adewole, Andreas Jacobsson, Paul Davidsson

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Development of an IoT-based MANET for Healthcare Monitoring System Using Data Loss Aware Routing Protocol by K. Balasubramanian, S. Senthilkumar, N. Kopperundevi, S. Sivakumar

“…Recently, MANET-IoT systems have been used in many areas of live applications. In addition, most routing protocols are for MANET, but they are not compatible with MANET-IoT. …”
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Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

“…Explainability techniques were integrated to provide insights into the key factors driving predictions. Additionally, a feature selection process was performed to identify the most influential variables and explore how their inclusion affects model performance. …”
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Feasibility and Optimization of Solar Cell Town in Kerman Province (Case Study: Rayen City) by Reza Peykanpour Fard

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A Multimodal Machine Learning Model in Pneumonia Patients Hospital Length of Stay Prediction by Anna Annunziata, Salvatore Cappabianca, Salvatore Capuozzo, Nicola Coppola, Camilla Di Somma, Ludovico Docimo, Giuseppe Fiorentino, Michela Gravina, Lidia Marassi, Stefano Marrone, Domenico Parmeggiani, Giorgio Emanuele Polistina, Alfonso Reginelli, Caterina Sagnelli, Carlo Sansone

“…While many existing models simplify the LOS prediction problem to a classification task, predicting broad ranges of hospital days, an exact day-based regression model is often crucial for precise planning. Additionally, available data are typically limited and heterogeneous, often collected from a small patient cohort. …”
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Machine Learning for Early Detection of Phishing URLs in Parked Domains: An Approach Applied to a Financial Institution by Jaqueline D. Duarte, Pedro Chagas Junior, Joao Paulo Javidi da Costa, Elena J. da Costa, Laerte Peotta de Melo, Rafael Rabelo Nunes, Carlos V. N. Gabriel Soares, Thiago Erivan da Cunha Silva

“…A Light Gradient Boosting Machine classifier achieved recall of 96.02% and accuracy of 97.28% on a balanced dataset, validated through 10-fold cross-validation. Additionally, feature selection techniques reduced model complexity while maintaining detection effectiveness, facilitating practical deployment. …”
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An improved electrocardiogram arrhythmia classification performance with feature optimization by Annisa Darmawahyuni, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Firdaus Firdaus, Ade Iriani Sapitri, Anggun Islami, Jordan Marcelino, Rendy Isdwanta, Muhammad Ikhwan Perwira

“…Method To identify the most relevant and optimal features for ECG arrhythmia classification, common feature extraction techniques have been applied to ECG signals, specifically shallow and deep feature extraction. Additionally, a feature selection technique based on a metaheuristic optimization algorithm is utilized following the ECG feature extraction process. …”
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An Enhanced Zebra Optimization Algorithm With Multiple Strategies for Global Optimization and Feature Selection Problems: A Hepatocellular Carcinoma Case Study by Feyza Altunbey Ozbay

“…Evaluations of feature selection datasets show that CLESQ-ZOA exhibits effective performance in determining the optimal feature subset.…”
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Assessing land suitability for dragon fruit cultivation in Bangladesh: a GIS-based AHP approach by Md. Biplob Hosen, Md. Rabiul Islam, Umme. Tahera-Tun-Humayra, Rifat Sharker, Zarjes Kader, Md. Tareq Aziz, Manik Miah, Mahmudul Hasan, Rokshana Pervin, Md. Amzad Hossain, Md. Tofiquzzaman

“…Results and conclusions: The analysis revealed that 19,982.93 km² (33.83 %) of the total cultivable land was highly suitable for dragon fruit cultivation. Additionally, 24.64 % was classified as high suitability, followed by 19.22 % as moderate, 19.88 % as low, and 2.43 % as very low suitability. …”
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Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

“…The effects of different feature selection techniques and the impact of standardization versus normalization are compared on both datasets. …”
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The new peas variety “Pamyati Popova” by F. A. Davletov, G. М. Nigmatullina, К. P. Gaynullina, А. V. Pleshkov, F. F. Safn

“…The new variety was bred by multiple individual selection from a hybrid population “K-7992” (Korea) × “Barbel”. …”
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