Interleaving between Ant Colony Optimization and Tabu Search for Image Matching by Ghusoon Basheer

“…Different non – traditional   methods are  used for solving this kind of  problem. …”
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Prevalence and Species Identifications of Camel Ixodid Ticks in Habru District, North Wollo Zone, Northeast Ethiopia by Tsedalu Yirsa, Yidersal Tizazu, Abebe Berihun, Asres Zegeye

“…ABSTRACT Background Ticks are among the most prevalent ectoparasites and carriers of important infectious diseases in animals and people worldwide, particularly in tropical and subtropical regions. Methods A cross‐sectional study from December 2023 to April 2024 sought to determine the incidence and species of camel ixodid ticks in the Habru district. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Recently, neural network-based approaches have shown promise over traditional symbolic methods, offering fixed complexity in inference and suitability for hardware implementation. …”
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Surgical Non-Regenerative Treatments for Peri-Implantitis: a Systematic Review by Ausra Ramanauskaite, Povilas Daugela, Ricardo Faria e Almeida, Nikola Saulacic

“…Surgical non-regenerative methods were found to be efficient in reducing clinical parameters. …”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…However, traditional experimental methods for determining these properties, particularly the solution gas–oil ratio (Rs), are time-intensive and costly. …”
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Machine learning approach for prediction of safe mud window based on geochemical drilling log data by Hongchen Cai, Yunliang Yu, Yingchun Liu, Xiangwei Gao

“…Traditional geomechanical methods for SMW determination face challenges in handling complex, nonlinear relationships within drilling datasets.PurposeThis study aims to develop robust machine learning (ML) models to predict two key SMW parameters—Mud Pressure below shear failure (MWsf) and tensile failure (MWtf)—using geochemical drilling log data from Middle Eastern carbonate reservoirs.MethodsHybrid ML models combining Least Squares Support Vector Machine (LSSVM) and Multilayer Perceptron (MLP) with optimization algorithms (Gray Wolf Optimization, GWO; Grasshopper Optimization Algorithm, GOA) were trained on 2,820 data points from three wells. …”
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Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity by David Melvin Braga, Bharat Rawal

“…Regulatory processes may become more streamlined, using adaptive clinical trials, accelerating pathways, and better integrating digital data to reduce the time and cost of bringing new drugs to market. Computational data methods could be used to reduce the cost and time involved in experimental drug discovery, allowing researchers to simulate biological interactions and screen large compound libraries more efficiently. …”
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A Decision Making Approach for Logistics Village Selection Based on AHP-TOPSIS by Sezin Güleryüz, Şebnem Coşmuş

“…The aim of this study is to determine their rankings according to the most suitable alternative by comparing the Çandarlı, Filyos, and Iyidere logistics villages, which are in the respective provinces of İzmir, Zonguldak, and Rize and are in the planning stage, using the analytic hierarchy process (AHP) and technique for order preference by similarity to the ideal situation (TOPSIS) methods. …”
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Practical insights for ECa-based soil mapping: Case studies in croplands and vineyards by Camilla De Feudis, Chiara Ferré, Roberto Comolli

“…This work aims to develop an efficient approach to mapping soil properties using proximal geophysical methods, minimizing the number of soil sampling points required for the site-specific calibration of the soil parameter estimation models.Ten experimental fields in northern Italy were surveyed using geoelectric and electromagnetic induction methods to obtain maps of soil apparent electrical conductivity (ECa). …”
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Comparing the effects of smartphone-based and face-to-face education on the quality of life and coping skills among patients with multiple sclerosis: A randomized controlled trial by Elahe Baharian, Shahla Abolhassani, Arash Najimi, Fereshteh Ashtari

“…The use of mobile health technology to enhance health is now an excellent potential to establish a more efficient health system. The purpose of this study was to determine the effect of a self-care program using two smartphone-based education and F2F education on the QOL and coping skills of people with MS. …”
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A Study on Multi-ship Avoidance System for Unmanned Surface Vehicles Using the Quaternion Ship Domain and Collision Risk Index by Dong-Hun Lee, Mu-Yeong Seo, Hyo-Geun Lee, Won-Jun Yoo, Sanghyun Kim, Kwang-Jun Paik

“…The algorithm was used to evaluate target ships (TS) using the CRI values, adapt the ship domain based on QSD, and use the velocity obstacle (VO) method to determine feasible avoidance paths while adhering to the International Regulations for Preventing Collisions at Sea (COLREGs). …”
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On the Quest for Oxygen Evolution Reaction Catalysts Based on Layered Double Hydroxides: An Electrochemical and Chemometric Combined Approach by Isacco Gualandi, Elisa Musella, Giulia Costa, Massimo Gazzano, Erika Scavetta, Sergio Zappoli, Domenica Tonelli

“…Herein, ternary layer double hydroxides (LDHs) are synthesized and characterized as electrocatalysts for OER using a potentiodynamic electrochemical deposition method on Grafoil. A chemometric approach based on experimental design is employed to rationalize the effort in the investigation of the LDHs which are based on Ni, Co, and Fe. …”
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Promiscuous RNA binding ensures effective encapsidation of APOBEC3 proteins by HIV-1. by Luis Apolonia, Reiner Schulz, Tomaž Curk, Paula Rocha, Chad M Swanson, Torsten Schaller, Jernej Ule, Michael H Malim

“…Here, we address this issue in detail by first determining which RNAs are able to bind to A3G and A3F in HV-1 infected cells, as well as in cell-free virions, using the unbiased individual-nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP) method. …”
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Aplicación de técnicas estadísticas multivariadas en perfilación y segmentación by Milton Januario Rueda Varon, Luz Marina Moya-Moya, Moises Aranda-Silva

“…Materials and methods. We present a new profiling and segmentation approach by using correspondence analyses and classification. …”
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Multi-Model Segmentation Algorithm for Rotator Cuff Injury Based on MRI Images by Mengqi Li, Jingchao Fang, Haonan Hou, Li Yuan, Jin Guo, Zhenlong Liu

“…This paper proposes an AI-based diagnostic method using MRI images for rotator cuff injuries to assist in treatment by segmenting tear areas and assessing tear severity. …”
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Quasi periodic photonic crystal as gamma detector using Poly nanocomposite and porous silicon by Fatma A. Sayed, May Bin-Jumah, Arafa H. Aly, V. D. Zhaketov, Mohammed Sallah, Zaky A. Zaky

“…These calculations were performed using the transfer matrix method over a wavelength range of 500–800 nm. Each structure’s sensitivity and quality factor were evaluated in two radiation ranges—0–100 Gy and 100–200 Gy—to determine their potential as gamma dosimeters. …”
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Whole genome uniparental isodisomy detected using single nucleotide polymorphism (SNP) microarray in molar pregnancy: a case report by Onyinye O. Okonkwo, Veronica Ortega, Sheila Kane, Galina Aldrete, Paulina Ramirez, Philip T. Valente, Gopalrao V.N. Velagaleti

“…High-resolution SNP microarray testing is an efficient method used to determine the parental contribution of the genomic material in molar pregnancies and confirm the diagnosis. …”
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MATLAB Application for User-Friendly Design of Fully Convolutional Data Description Models for Defect Detection of Industrial Products and Its Concurrent Visualization by Fusaomi Nagata, Shingo Sakata, Keigo Watanabe, Maki K. Habib, Ahmad Shahrizan Abdul Ghani

“…In particular, a systematic threshold determination method is proposed to obtain the best performance for defect detection from FCDD models. …”
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Advancing Electrochemical Energy Storage: A Review of Electrospinning Factors and Their Impact by Muhammad Kashif, Sadia Rasul, Mohamedazeem M. Mohideen, Yong Liu

“…Electrospinning emerged as a facile and cost-effective method for generating nanofibers with customizable nanostructures, making it attractive for energy storage applications. …”
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Evaluation and Optimization of Prediction Models for Crop Yield in Plant Factory by Yaoqi Peng, Yudong Zheng, Zengwei Zheng, Yong He

“…This study focuses on enhancing crop yield prediction in plant factory environments through precise crop canopy image capture and background interference removal. This method achieves highly accurate recognition of the crop canopy projection area (CCPA), with a coefficient of determination (R²) of 0.98. …”
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