Smart Agile Prioritization and Clustering: An AI-Driven Approach for Requirements Prioritization by Aya M. Radwan, Manal A. Abdel-Fattah, Wael Mohamed

“…In Agile software development, requirements prioritization plays a crucial role in ensuring that critical functionalities are delivered efficiently. Traditional prioritization methods often suffer from scalability limitations, lack of automation, and difficulty in handling dependencies. …”
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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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A Deep Learning-Driven CAD for Breast Cancer Detection via Thermograms: A Compact Multi-Architecture Feature Strategy by Omneya Attallah

“…Following that, feature transformation methods, such as discrete wavelet transform (DWT) and non-negative matrix factorization (NNMF), are employed to diminish feature dimensionality and enhance computational efficiency. …”
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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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Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…This study offers a thorough examination of how AI can be utilized to enhance e-learning results by employing advanced predictive methods and performance optimization strategies. The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …”
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Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning by Yinghui Yang, Yahui Dai, Qunting Yang

“…Machine learning offers a promising alternative by enabling the creation of advanced predictive models and algorithms that can improve the accuracy and efficiency of OMC predictions compared to traditional empirical methods. …”
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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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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 review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption by Zhongjiao Ma, Zichun Yan, Mingfei He, Haikuan Zhao, Jialin Song

“…Building upon the investigation of supervision and determinants of building energy consumption, three predictive methodologies were examined: (ⅰ) Physical methods, (ⅱ) data-driven methods, and (ⅲ) mixed methods. …”
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Formation of Instantaneous Differential and Restraining Cur-rents for Differential Protection of Busbar Assemblies by V. S. Kachenya, M. S. Loman

“…The efficiency of the proposed method has been evaluated. …”
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Increasing the Quality of Transient Processes in the Vehicle Transmission by A. Taratorkin, V. Derzhankii, I. Taratorkin

“…This method is based determining signatures of the torque and its derivatives. …”
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MATHEMATICAL MODELING OF FLOW PARAMETERS FOR SINGLE WIND TURBINE by S. V. Strijhak

“…One of the possible directions in design is connected with mathematical modeling. The method of large eddy simulation developed within the direction of computational hydrodynamics allows to reproduce unsteady structure of the flow in details and to determine various integrated values. …”
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Analysis of Some Trace Metals in Fish Species after Preconcentration with Congo Red on Amberlite XAD-7 Resin by Flame Atomic Absorption Spectrometry by Güzin Alpdoğan, Nevim San, Şule Dinç Zor

“…The proposed method was successfully applied to separation/preconcentration and determination of these metals in fish samples.…”
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Sensitive Detection of Lasalocid Residue in Chicken by Surface Enhanced Raman Spectroscopy by Yao WANG, Yingying SUN, Yubing JING, Xiyan YANG, Yanfei LI, Jiaxiang HUANG, Xiujin CHEN, Zhaozhou LI, Li CAO, Huaibin KANG

“…In order to improve the efficiency of monitoring and detecting the residues of the anticoccidial veterinary drug lasalocid (LAS) in chicken, a sensitive method for the determination of LAS residues was established by surface-enhanced Raman spectroscopy (SERS). …”
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ON THE ISSUE OF METHODOLOGY OF ESTIMATING THE REGIONAL COMPETITIVE ADVANTAGES BY TYPES OF ACTIVITY by A. R. Safiullin

“…This approach determined the choice of specific research methods: dialectics, abstraction, systematic, logical, structural, comparative, and statistical. …”
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A Local Architectural Example of Cappadocia Region: Byzantine Period Rock Carved Apiaries by Derya Güneri

“…The common purpose to do this is to protect hives and bees from climate conditions and negative environmental factors, use bees and bee products most efficiently and utilize the present material. Indeed, beekeeping and collecting applications have subsisted in various styles and methods since ancient times, and have been shaped following their purposes in the Byzantine Period and survived until today. …”
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Optimized Allocation of Flood Control Emergency Materials Based on Loss Quantification by Wei Wang, Yunqing Wang, Li Huang, Yue Song

“…The NSGA‐II algorithm was selected to generate the results after the method comparison to ultimately determine the Pareto solution of the model. …”
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