USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN by Khaled Abdulwahab Alzeaideen, Ala’a Abdulkarim Hamdan, Hazem Khaled Shehadeh, Majed Abdel-Mohdi Masadeh, Hala Alsabatin, Abdalmuttaleb Al-Sartawi, Waleed Nureldeen

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Integrating agent-based models and clustering methods for improving image segmentation by Erik Cuevas, Sonia Jazmín García-De-Lira, Cesar Rodolfo Ascencio-Piña, Marco Pérez-Cisneros, Sabrina Vega

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Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis by Seungwoo Ryu, Sungsu Lim, Seungsoo Yoo, Sun Yong Kim

“…The proposed framework was evaluated against mainstream overlapping community detection algorithms. …”
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Tablets Development Based on Clover Meadow Grass Phytosubstance Using Design of the Experiment Method and QdD Tools by A. N. Golubev, Th. I. Nguen, V. V. Sorokin, I. E. Kauhova

“…The ICH Q8 «Pharmaceutical development» manual defines it as a systematic approach to development that starts with pre-defined goals and focuses on understanding the product and process, as well as managing the process based on reliable scientific data and quality risk management.Aim. The aim of the research is to develop the composition of tablets based on clover meadow grass phytosubstance using the QbD tool with application of mathematical model that links the composition of tablets (CMA) with its quality attributes (CQA).Materials and methods. …”
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A Novel Voronoi-Driven Optimization Approach for Point-Based Sensor Network Deployment by Saeid Doodman, Mir-Abolfazl Mostafavi, Raja Sengupta, Ali Afghantoloee

“…Several experiments were conducted to evaluate the effectiveness and efficiency of the proposed approach, comparing the results with the Genetic Algorithm (GA) as a reference, by calculating the RMSE using Kriging, Thin Plate Spline, and Inverse Distance Weighting methods. …”
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Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…This study aims to rigorously quantify this temporal transferability gap for both pea yield and TR prediction. Four ML algorithms (RF, XGBoost, GPR, SVMr) were evaluated using Sentinel-2 and ERA5-Land data from 2018 to 2024 in northern Italy. …”
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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

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Framework for truck–RPAS hybrid models in last-mile delivery by Armin Mahmoodi, Leila Hashemi, Jeremy Laliberte

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Diagnostic accuracy of dual-phase 18F-FDG PET/CT using time-of-flight reconstruction algorithm in conjunction with TrueX or Q.Clear in staging suspected pancreatic cancer by Susanne Stanzel, Tina Nazerani-Zemann, Friedrich Weitzer, Roland Weinke, Elisabeth Plhak, Reingard Maria Aigner

“…Abstract Demarcation of small pancreatic and metastatic abdominal lesions is challenging due to the noisy background. We evaluated the impact of time-of-flight (TOF) in conjunction with TrueX (= point spread function (PSF)-based algorithm) or Q.Clear (= Bayesian penalized likelihood reconstruction algorithm) in dual-phase (DP) 18F-FDG-PET/CT on image quality (IQ) and lesion detection rate in staging suspected pancreatic cancer. …”
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Optimization of Fusion Method for GF-2 Satellite Remote Sensing Images based on the Classification Effect by Jintong Ren, Wunian Yang, Xin Yang, Xiaoyu Deng, He Zhao, Fang Wang, Lei Wang

“…In order to evaluate the applicability of different classification algorithms to the classification, the object-oriented classification algorithm which is based on machine learning algorithm, such as KNN, SVM and Random Trees were used to classify the different GF-2 fusion images. …”
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Detect and Calculate the Speed of Moving Objects Using R-CNN Technique by Batool R. Abd, Heba Khudhair Abbas

“…Detecting moving objects has gained a lot of desirability because of its applications like video surveillance, person movement tracking, traffic investigation, and security systems like security systems or surveillance. are four parameters used to evaluate the performance of the algorithms and the system setup: accuracy, average time, detection percentage, and speed. …”
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Gender Identification Using Multilayer Perceptron (MLP) Neural Network, Genetic Neural Network and Adaptive Neuro-Fuzzy Inference System (ANFIS) Network by Evanthia Kokkinaki

“…This study introduces and evaluates novel concepts and techniques for automatic gender identification. …”
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Evolution of management strategies for unstable pelvic ring injuries over the past 40 years: a systematic review by Kenichi Sawauchi, Luca Esposito, Yannik Kalbas, Zygimantas Alasauskas, Valentin Neuhaus, Hans-Christoph Pape, Felix Karl-Ludwig Klingebiel, Roman Pfeifer

“…Future research should focus on accumulating higher-quality evidence to evaluate the effectiveness of standardized protocols and explore the applicability of new treatment methods.…”
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Method of calculating the pressure on the soil of wheeled tractors by V. Yu. Revenko, A. N. Nazarov, V. I. Skorlyakov

“…Insignificant differences in the assessment of the maximum pressure on the soil, obtained as a result of measurements and calculations (the difference is 1.9-3.3 %) indicate a high degree of reliability of the developed methodology, as well as the possibility of its application in engineering practice to evaluate the functional indicators of tractors, including taking into account changes in their size and mass parameters when equipped with ballast weights, agricultural machines, implements, dual tires, etc. …”
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Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks by R. Augustian Isaac, P. Sundaravadivel, V. S. Nici Marx, G. Priyanga

“…Abstract As the number of service requests for applications continues increasing due to various conditions, the limitations on the number of resources provide a barrier in providing the applications with the appropriate Quality of Service (QoS) assurances. …”
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Spatiotemporal Gap‐Filling of NASA Deep Blue Satellite Aerosol Optical Depth Over the Contiguous United States (CONUS) Using the UNet 3+ Architecture by Jeffrey S. M. Lee, S. Marcela Loría‐Salazar, Heather A. Holmes, Andrew M. Sayer

“…These gaps represent a barrier in characterizing daily aerosol loadings, which is important for air quality applications. In particular, recent studies in aerosol studies have shown satellite AOD to be a useful predictor of particulate matter, but are often limited to monthly or longer temporal resolution because of missing AOD retrievals. …”
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1.7 MV Tandem Accelerator Beam Tuning Optimization by JIANG Ran, LI Ailing, CUI Baoqun, TANG Bing, CHEN Haonan, WANG Yunfeng

“…To augment the inherent efficiency and enhance the quality of the conventional manual beam-tuning methodology, this paper presented an innovative approach through the incorporation of a differential evolution (DE) algorithm. …”
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Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics by Marko M. Kostić, Željana Grbović, Rana Waqar, Bojana Ivošević, Marko Panić, Antonio Scarfone, Aristotelis C. Tagarakis

“…With the latest advancements in unmanned aerial vehicle (UAV) technology, the potential for acquiring accurate agricultural data has significantly increased, making UAVs an ideal tool for scouting applications in agricultural systems. This study investigates the effectiveness of utilizing different plant recognition algorithms applied to UAV-derived images for evaluating seeder performance based on detected plant spacings. …”
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Deep learning based gasket fault detection: a CNN approach by S. Arumai Shiney, R. Seetharaman, V. J. Sharmila, S. Prathiba

“…The obtained results indicate that our system has great potential for practical applications in the manufacturing industry. Moreover, our system provides a reliable and efficient mechanism for quality control, which can help reduce the risk of defects and ensure product reliability.…”
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Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions by Leonardo Buscarini, Paola Romano, Elena Sofia Cocco, Carlo Damiani, Sanaz Pournajaf, Marco Franceschini, Francesco Infarinato

“…The Machine Learning (ML) model’s application in the medical domain is one of the most compelling and challenging topics to explore, bridging the gap between Artificial Intelligence (AI) and healthcare. …”
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