Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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Optimizing solar PV systems using fuzzy logic for Climate-Resilient Healthcare infrastructure in Kyrgyzstan by Nivine Guler, Zied Ben Hazem, Ali Gunes

“…Also, the proposed scheme showed 3% prediction error when checked with the PVWatts calculator. …”
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Cross-Domain Fake Review Detection via Orthogonal Counterfactual Representations by Richa Gupta, Vinita Jindal, Indu Kashyap

“…Working of the proposed COAT is divided in three phases: 1) two-step masking to remove source-specific cues, 2) counterfactual generation using BERT, followed by orthogonal alignment via Procrustes algorithm, and 3) training and prediction using a Bi-LSTM classifier in a zero-shot setting. …”
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Downward Convective Moisture Transport Dominated by a Few Overshooting Clouds in Marine and Continental Shallow Convection by Heng Xiao, Adam Varble, Colleen Kaul, Johannes Mülmenstädt

“…We apply a 3‐D cloud‐tracking algorithm to large‐eddy simulations (LESs) of marine and continental shallow convection. …”
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Evaluating the acceptance of CBDCs: experimental research with artificial intelligence (AI) generated synthetic response by Sergio Luis Náñez Alonso, Peterson K. Ozili, Beatriz María Sastre Hernández, Luís Miguel Pacheco

“…Generative AI, with its algorithmic fidelity, has great potential for predicting human behavior in economic contexts. …”
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A Statistical Optimization Method for Sound Speed Profiles Inversion in the South China Sea Based on Acoustic Stability Pre-Clustering by Zixuan Zhang, Ke Qu, Zhanglong Li

“…Disturbance mode principal component analysis is first used to extract characteristic parameters, and then a machine learning clustering algorithm is adopted to pre-classify SSP samples according to acoustic stability. …”
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Equatorial convection controls boreal summer intraseasonal oscillations in the present and future climates by Aditya Kottapalli, P. N. Vinayachandran

“…The study implies that with a correct representation of BSISO’s equatorial convection, the prediction of BSISO and extreme rainfall associated with BSISOs becomes more reliable.…”
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Short course of glucocorticoids in patients with protracted and chronic gout arthritis. Part I: predictors of therapy efficacy by A A Fedorova, V G Barskova, I A Yakunina, V A Nasonova

“…The study allowed to reveal features which determine efficacy of short course of GC therapy in pts with protracted and chronic gout arthritis: inflamed joint count, duration of the last exacerbation and chronic renal insufficiency. Proposed an algorithm allowing to predict efficacy of GC short course in each pt.…”
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Artificial intelligence technology in the clinical analysis of a patient with a mental disorder (case report) by Dmitry I. Nozdrachev, Maksim P. Marachev, Pavel S. Evgenov, Natalia N. Petrova

“…Modern neural networks, such as neural networks and large language models (LLMs), claim to be able to diagnose, prescribe treatments, and predict the course of mental disorders based on historical and clinical data. …”
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Machine learning-based equations for improved body composition estimation in Indian adults. by Nick Birk, Bharati Kulkarni, Santhi Bhogadi, Aastha Aggarwal, Gagandeep Kaur Walia, Vipin Gupta, Usha Rani, Hemant Mahajan, Sanjay Kinra, Poppy A C Mallinson

“…We combined BIA measurements (TANITA BC-418) with skinfold thickness, body circumferences, and grip strength to develop equations to predict six DXA-measured body composition parameters in a cohort of Indian adults using machine learning techniques. …”
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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…We have developed the hybrid model based on crow search optimization (CSO) and random forest (RF) algorithm for identifying threats and irregularities in a computer network. …”
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Machine Learning-Based Environment-Aware GNSS Integrity Monitoring for Urban Air Mobility by Oguz Kagan Isik, Ivan Petrunin, Antonios Tsourdos

“…The proposed Natural Gradient Boosting Protection Level (NGB-PL) method, leveraging the uncertainty prediction capabilities of the NGB algorithm, demonstrated superior performance in estimating protection levels compared to the classical methods. …”
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Reconstructing the silent circulation of West Nile Virus in a Caribbean island during 15 years using sentinel serological data. by Celia Hamouche, Jennifer Pradel, Nonito Pagès, Véronique Chevalier, Sylvie Lecollinet, Jonathan Bastard, Benoit Durand

“…During years with circulation, the FOI was predicted to be highest around the months of October-November, although transmission could occur all year long. …”
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Study on Efficiency Expression and Conversion Method of Wankel Pump by Yanshun LIU, Xiao ZHANG, Zheng ZHOU, Xianghui LI, Zecheng DENG, Qiang FU

“…This study is intended to predict the efficiency performance of the Wankel pump at various speeds and heads, providing a fundamental basis for the design and development of the Wankel pump.…”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…Compared to the alternative methods, for both the plant species, the MML method selects the simplest model while also having the overall best predictions.…”
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Spatiotemporal Patterns of Drought Migration Across the Contiguous United States by Amitesh Sabut, Ashok Mishra, Dara Entekhabi

“…These findings offer crucial spatiotemporal frameworks for studying the migration process and provide valuable insights for predicting drought occurrences.…”
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Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS by Ahmed M. Elshewey, Enas Selem, Amira Hassan Abed

“…Also, binary breadth-first search algorithm is used to select the most important features for the proposed explainable artificial intelligence-chronic kidney disease model. …”
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Particle Swarm Optimization of Support Vector Machine Inversion Model for Overhead Upright Piers Damage-Inducing Factor by Shiliang Zhou, Menghan Tang, Jun Wu, Chunru Ke

“…For the strength of DIF predictions, MAE and MSE were 4.871 and 1.202, respectively, R2 was 0.986, NSE was 0.986, WI was 0.996, and PBIAS was 0.095. …”
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A Comparative Study of Three-Dimensional Flow Based, Geometric, and Empirical Tortuosity Models in Carbonate and Sandstone Reservoirs by Benedicta Loveni Melkisedek, Yoevita Emeliana, Irwan Ary Dharmawan

“…This comprehensive comparison underscores the importance of incorporating multiple pore-scale parameters for robust tortuosity prediction, improving the understanding of flow behavior in heterogeneous reservoir rocks.…”
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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…Moreover, by coupling the BP network with the Golden Jackal Optimization (GJO) algorithm, a BP-GJO optimization model is developed to refine the structural parameters. …”
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