An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction by Anuradha Yenkikar, Ved Prakash Mishra, Manish Bali, Tabassum Ara

“…Explainable Artificial Intelligence (XAI) techniques address this challenge by making AI-driven predictions more transparent, ensuring trust and better decision-making. …”
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AI-Powered IoT: A Survey on Integrating Artificial Intelligence With IoT for Enhanced Security, Efficiency, and Smart Applications by Vivek Menon U, Vinoth Babu Kumaravelu, Vinoth Kumar C, Rammohan A, Sunil Chinnadurai, Rajeshkumar Venkatesan, Han Hai, Poongundran Selvaprabhu

“…Moreover, the myriad state-of-the-art ML and DL-based approaches for securing IoT, including detecting anomalies/intrusions, authentication and access control, attack detection and mitigation, preventing distributed denial of service (DDoS) attacks, and analyzing malware in IoT, are also enlightened. …”
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Navigating Pregnancy Testing in Chronic Pain Management for Women of Reproductive Age by Tamura S, Vardhan S, Breidenbach K, Shaparin N, Vydyanathan A, Gritsenko K

“…Interventional procedures involving ionizing radiation, such as fluoroscopy-guided injections, raise specific concerns for fetal safety, including risks of embryo death, congenital anomalies, intellectual disability, and microcephaly. …”
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Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users by Christopher Meaney, Xuesong Wang, Jun Guan, Therese A. Stukel

“…Results The extreme gradient boosting model estimated using default hyper-parameter settings had reasonable discrimination (AUC=0.82) but was not well calibrated. …”
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Hybrid Hunger Games Search optimization using a neural networks approach applied to UAVs by Nadia Samantha Zuñiga-Peña, Salatiel Garcia-Nava, Norberto Hernandez-Romero, Juan Carlos Seck-Touh-Mora

“…However, due to the nonlinear nature of the systems to which these controllers are applied, there is no certainty about the search space that must be defined. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Extensive literature has underscored the detrimental consequences of pesticides on human health. …”
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Optimization of multioutlet hydrant location and pressurized irrigation network layout using the GRASP metaheuristic by César González-Pavón, Carmen Virginia Palau, Juan Manzano-Juárez, Santiago Guillem-Picó, Ibán Balbastre-Peralta

“…This study delves into the significance of factoring in the cost of multioutlet hydrants during network design and how their positioning affects the overall cost. …”
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MOVEMENTS OF ANATOMICAL COMPLEX: CONDYLAR PROCESS, TEMPOROMANDIBULAR JOINT, TEMPORAL BONE by R.S. Palyvoda, A.S. Volovar, A.V. Malikov

“…Bone tissue has good quality. Discussion. Comparison of obtained data and information from literature review made differences in 2-4 mm only. …”
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A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity by Balamurali S, Kathirvelu M, SatheeshKumar Palanisamy, Tagrid Abdullah N. Alshalali

“…These networks are used in many different domains, including military operations, security, disaster relief, and habitat monitoring. …”
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Optimal Sizing, Techno-Economic Feasibility and Reliability Analysis of Hybrid Renewable Energy System: A Systematic Review of Energy Storage Systems’ Integration by Akhlaque Ahmad Khan, Ahmad Faiz Minai, Rakesh Kumar Godi, Vijay Shankar Sharma, Hasmat Malik, Asyraf Afthanorhan

“…Improving dependability and smoothing down power output are two major benefits of ESS integration. …”
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Quality evaluation of synthetic CT using a gamma analysis for prostate cancer MR-only radiotherapy by Viktor Babka, Lubos Rehounek, Iva Jakubcová, Igor Sirak, Petr Paluska, Linda Kašaová, Milan Vosmik, Jakub Grepl

“…MATERIALS AND METHODS: Aplication developed in MATLAB assesses Hounsfield units (HU) discrepancies between CT and sCT images via 2D and 3D gamma analysis (GA). …”
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Identification of Global Extended Pseudo Invariant Calibration Sites (EPICS) and Their Validation Using Radiometric Calibration Network (RadCalNet) by Juliana Fajardo Rueda, Larry Leigh, Cibele Teixeira Pinto

“…Distributed across diverse regions, these global targets increase the number of calibration points available for any sensor in any orbital cycle, reducing the reliance on traditional PICS and offering more robust targets for radiometric calibration efforts.…”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…Simulation results demonstrate high prediction accuracies of 95.10% for temperature and 98.06% for irradiance on dataset-1, significantly reducing computational demands and outperforming conventional prediction techniques. …”
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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

“…RGB-D information fusion brings depth perception into the mix, allowing robots to gauge the distance to each fruit accurately. …”
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Envisioning Archival Images with Artificial Intelligence by Jessica Bushey

“…Through various case studies, the review demonstrates that interdisciplinary collaboration between archivists, AI specialists, and scholars is crucial to developing effective AIdriven solutions. …”
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Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…Vedic multipliers offer a crucial foundation in the design and implementation of digital circuits, recognized for their speed, efficiency, ease of calculations, reduction of errors, and broad applicability. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“…We performed a claims data analysis using a machine learning algorithm. …”
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Evaluating Medical Entity Recognition in Health Care: Entity Model Quantitative Study by Shengyu Liu, Anran Wang, Xiaolei Xiu, Ming Zhong, Sizhu Wu

“…However, their performance varies across medical datasets due to the complexity and diversity of medical terminology. …”
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Neuro-fuzzy controller based adaptive control for enhancing the frequency response of two-area power system by M.S. Elborlsy, Samir A. Hamad, Fayez F.M. El-Sousy, R.M. Mostafa, H.E. Keshta, Mohamed A. Ghalib

“…The suggested control strategy successfully maintains the system's frequency and voltage under various disturbances, enhances dynamic performance, and ensures a good balance between power generation and load demand. …”
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A novel gene signature for predicting outcome in colorectal cancer patients based on tumor cell-endothelial cell interaction via single-cell sequencing and machine learning by Lina Pang, Qingxia Sun, Wenyue Wang, Mingjie Song, Ying Wu, Xin Shi, Xiaonan Shi

“…The Malignant Cluster01 and Tip-like endothelial cells related machine learning-derived prognostic signature (MTMLDPS), demonstrated potent prognostic capability, effectively predicting colorectal cancer patient outcomes across diverse databases. …”
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