NATE: Non-pArameTric approach for Explainable credit scoring on imbalanced class. by Seongil Han, Haemin Jung

“…Oversampling approaches, particularly when used with gradient boosting, demonstrated superior effectiveness compared to undersampling, achieving optimal metrics of AUC: 0.9649, MCC: 0.8104, and F1 Score: 0.9072. …”
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An Intelligent Technique for Android Malware Identification Using Fuzzy Rank-Based Fusion by Altyeb Taha, Ahmed Hamza Osman, Yakubu Suleiman Baguda

“…Furthermore, the rankings reflect the relative importance or acceptance of each class across multiple classifiers, providing deeper insights into the ensemble’s decision-making process. The proposed framework was validated on two publicly accessible datasets, CICAndMal2020 and DREBIN, with a 5-fold cross-validation technique. …”
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Delayed stormflow generation in a semi-humid forested watershed controlled by soil water storage and groundwater dynamics by Z. Cui, F. Tian

“…When the GWL surpasses a critical threshold, its responses across the watershed become synchronized, significantly boosting groundwater discharge and reducing lag times. …”
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Induced mitochondrial membrane potential for modeling solitonic conduction of electrotonic signals. by R R Poznanski, L A Cacha, J Ali, Z H Rizvi, P Yupapin, S H Salleh, A Bandyopadhyay

“…The implication of our results indicate that a phenomenological description of ionic current can be successfully modeled with displacement current in Maxwell's equations as a conduction process involving quasi-electrostatic interactions without the inclusion of diffusive current. …”
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A Novel Approach to Enhancing the Accuracy of Prediction in Ship Fuel Consumption by Tianrui Zhou, Jinggai Wang, Qinyou Hu, Zhihui Hu

“…To overcome this limitation, this paper proposes a novel method that integrates Gaussian process prediction with quantile regression theory to perform interval predictions of ship fuel consumption, providing a range of possible outcomes. …”
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Decoding Subjective Understanding: Using Biometric Signals to Classify Phases of Understanding by Milan Lazic, Earl Woodruff, Jenny Jun

“…Distinct AU patterns were found for all five phases, with gradient boosting machine and random forest models achieving the highest predictive accuracy. …”
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Development of a Hybrid Model for Risk Assessment and Management in Complex Road Infrastructure Projects by Aleksandar Senić, Nevena Simić, Momčilo Dobrodolac, Zoran Stojadinović

“…Initially, various machine learning models, including linear regression, Random Forest, Gradient Boosting, Stacking Models, and neural networks, were applied to assess risk predictions. …”
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Foreign Economic Potential of Ethiopia by KONOKHOVA Mariya Vadimovna

“…The country has great potential to boost national economy by increasing its participation in international trade and expanding foreign economic relations. …”
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CareNexus: Integrated solutions for Healthcare Communication by Alexandru Ioan BULZAN

“… Through the digitization process, we aim to improve and streamline communication between healthcare professionals, patients and clinics. …”
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On the Use of Forward Body Biasing Technique for Low Power Ultra-Wideband Low Noise Amplifiers Design and Implementation by Mohammed Adel, Usama Sayed Mohammed, Khalil Yousef

“…These low power ultra-wideband LNAs are designed and simulated in CMOS 130nm process.…”
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Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data by Fuyong Wang, Xianmu Hou

“…Six machine learning algorithms are utilized: support vector machine (SVM), backpropagation (BP) neural network, gaussian process regression (GPR), extreme gradient boosting (XGBoost), K-nearest neighbor (KNN), and random forest (RF). …”
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Chemical imprinting meets nanotechnology: Ultra-sensitive monitoring of beta-endorphin by Ankita Ghosh, Ramesh Chandra, Nidhi Chauhan

“…Beta-endorphin is a vital neurotransmitter involved in physiological processes including relief the pain, boosting memory, and regulating mood. …”
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Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change by Mariusz Ptak, Mariusz Sojka, Katarzyna Szyga-Pluta, Teerachai Amnuaylojaroen

“…Water temperature is a fundamental parameter influencing a range of biotic and abiotic processes occurring within various components of the hydrosphere. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…By integrating diverse machine learning models including decision trees, support vector machines, and neural networks through techniques such as bagging, boosting, blending, and stacking, our approach aims to enhance detection accuracy and robustness against evolving threats. …”
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Seabird nutrient subsidy alters size and resource use of functionally important mangrove macroinvertebrates by Jennifer Appoo, Nicholas A. J. Graham, Christopher W. Jones, Sébastien Jaquemet, Nancy Bunbury

“…Abstract Invertebrates have a central role in food webs and ecosystem functioning. By boosting productivity, allochthonous nutrient inputs influence the food webs of recipient communities. …”
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Balancing Agricultural Productivity and Ecosystem Resilience: A Multi-Species Interaction and Simulation Framework by Peng Zijun, Duan Zehan, Wang Jinhai

“…The results show that bats reduce pest density by 30%, boosting pollination success by 20%, while earthworms improve soil structure and enhance plant growth by 15%. …”
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Nanodot‐Inspired Precise Bacterial Gene Suppression in a Smart Hydrogel Bandage for Underwater Wound Healing by Qingsong Zhang, Menghan Lu, Richang Ou, Hong Lin, Guanhua Xuan, Xiudan Wang, Xiaofeng Xu, Weiwei Zhang, Guoqing Wang

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Advancing Predictive Healthcare: A Systematic Review of Transformer Models in Electronic Health Records by Azza Mohamed, Reem AlAleeli, Khaled Shaalan

“…Our findings show that transformer models, especially in applications like named entity recognition (NER) and clinical data analysis, greatly increase the accuracy and efficiency of processing unstructured data. Notably, case studies demonstrated a 30% boost in entity recognition accuracy in clinical notes and a 90% detection rate for malignancies in medical imaging. …”
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Performance assessment of a cogeneration system in a sugar cane factory using energy and exergy analysis by Mostafa Abouelsoud, Mohamed Y. Khalil, Ramadan Hefny Ali, Hussein M. Maghrabie

“…To address inefficiencies, two modifications were proposed: replacing mechanical turbines in RJP process with direct current (DC) motors, boosting power output by 5500 kW, providing 2000 kW for grid export, and saving 163,200 $ annually; and reducing bagasse moisture by 42 % using flue gas waste heat, increasing boiler exergy efficiency by 3.82 % and overall system efficiency by 3.38 %, saving 29,376 tons of bagasse annually, valued at 763,776 $. …”
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Visualization Approach for RAMI 4.0 Value Chain Analysis by Salman Javed, Jan van Deventer, Cristina Paniagua, Jerker Delsing

“…This supports the analysis of engineering and business processes, optimizes infrastructure, and facilitates smooth technological transitions. …”
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