Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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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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Application of radiomics-based prediction model to predict preoperative lymph node metastasis in prostate cancer: a systematic review and meta-analysis by Yanghuang Zheng, Yuelin Du, Biao Zhang, Helin Zhang, Panfeng Shang, Zizhen Hou

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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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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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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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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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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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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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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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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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Ethical and regulatory challenges in machine learning-based healthcare systems: A review of implementation barriers and future directions by Shehu Mohammed, Neha Malhotra

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Albufera Lagoon Ecological State Study Through the Temporal Analysis Tools Developed with PerúSAT-1 Satellite by Bárbara Alvado, Luis Saldarriaga, Xavier Sòria-Perpinyà, Juan Miguel Soria, Jorge Vicent, Antonio Ruíz-Verdú, Clara García-Martínez, Eduardo Vicente, Jesus Delegido

“…The main objective of this study is to assess the potential of PerúSAT-1′s multispectral images to develop multi-parameter algorithms to evaluate the ecological state of the Albufera lagoon. …”
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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

“…This process involved variables recoding, scaling, and the evaluation of different dataset balancing methods to optimize model performance. …”
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On-demand intelligent routing technology for deterministic network by Zhongli WU, Yuanyuan CAO, Wenrui HUANG, Bin DAI, Yijun MO

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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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