The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

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A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture by Mahmoud Khaled Elfouly, Amr M. AbdelAziz, Wael Hassan Gomaa, Mohammed Abdalla

“…The model has 97.33% accuracy for classifying disease severity. …”
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A Differential-Evolution-Based Approach to Extract Univariate Decision Trees From Black-Box Models Using Tabular Data by Rafael Rivera-Lopez, Hector G. Ceballos

“…The growing demand for complex machine learning models has increased the use of black-box models, such as random forests and artificial neural networks, posing significant challenges regarding explainability and interpretability. …”
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A Robust Tool for 3D Rail Mapping Using UAV Data Photogrammetry, AI and CV: qAicedrone-Rail by Innes Barbero-García, Diego Guerrero-Sevilla, David Sánchez-Jiménez, David Hernández-López

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Deep neural network approach integrated with reinforcement learning for forecasting exchange rates using time series data and influential factors by T. Soni Madhulatha, Dr. Md. Atheeq Sultan Ghori

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Estimating the carbon emission reduction potential of using carbon-oriented demand response for data centers: A case study in China by Bojun Du, Hongyang Jia, Yaowang Li, Ershun Du, Ning Zhang, Dong Liang

“…The rapid advancement of artificial intelligence (AI) has significantly increased the computational load on data centers. …”
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Examining Deep Learning Pixel-Based Classification Algorithms for Mapping Weed Canopy Cover in Wheat Production Using Drone Data by Judith N. Oppong, Clement E. Akumu, Samuel Dennis, Stephanie Anyanwu

“…This study aims to evaluate the effectiveness of three neural network architectures—U-Net, DeepLabV3 (DLV3), and pyramid scene parsing network (PSPNet)—in mapping weed canopy cover in winter wheat. Drone data collected at the jointing and booting growth stages of winter wheat were used for the analysis. …”
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Systemic Analysis of the QS International Research Network Indicator Using Big Data: Regional Inequalities and Recommendations for Improved University Rankings by Taewan Kim, Tae-Kook Kim

“…This paper presents a systemic analysis of the IRN indicator across three ranking cycles (2023–2025) using big data methodologies, including descriptive statistics, scatter plots, university size analysis, a case study of South Korean universities in Social Sciences & Management, correlation, and regression analysis. …”
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Air quality prediction-based big data analytics using hebbian concordance and attention-based long short-term memory by Sathishkumar Sekar, Zhang Wei

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Flood inundation and damage assessment of the degraded Semliki River plains using SAR data, Google Earth Engine, and GIS techniques by Andrew Mulabbi, John Calvin Esagu, Gertrude Akello, Remigio Turyahabwe

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CWCM-Net: A Novel Feature Fusion Method for Oil Spill Detection Using Single- and Quad-Polarization SAR Data by Sohail Jamal, Guangmin Sun, Yu Li, Abdul Qadir Khan, Yuanzhi Zhang, Anna Verlanti, Ferdinando Nunziata

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China tuberculosis policy at crucial crossroads: comparing the practice of different hospital and tuberculosis control collaboration models using survey data. by Xiaolin Wei, Guanyang Zou, John Walley, Jia Yin, Knut Lonnroth, Mukund Uplekar, Weibing Wang, Qiang Sun

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Line-of-Sight Glacier Velocity Estimation of Transboundary Glaciers in the Eastern Himalayas Using High-Resolution TerraSAR-X Data by Arpan Sharma, Mousumi Gupta, Narpati Sharma, Santanu Gupta

“…Satellite data were pre-processed using radiometric calibration and multi-look for speckle noise reduction. …”
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Mapping Coastal Soil Salinity and Vegetation Dynamics Using Sentinel-1 and Sentinel-2 Data Fusion With Machine Learning Techniques by Wen Liu, Tiezhu Shi, Zhinian Zhao, Chao Yang

“…This approach enables the precise mapping of coastal salt-affected soil and vegetation patterns, addressing spatial heterogeneity and dynamic environmental conditions. The analysis has been conducted for a coastal region in China, where derived features, such as normalized difference vegetation index (NDVI), salinity indices, and SAR-based soil moisture proxies, have been used as inputs to the CNN model. …”
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Analysis of p53-Independent Functions of the Mdm2-MdmX Complex Using Data-Independent Acquisition-Based Profiling by Anu Jain, Rafaela Muniz de Queiroz, Jayanta K. Chakrabarty, Karl A. T. Makepeace, Carol Prives, Lewis M. Brown

“…Background: We utilized data-independent acquisition (DIA) to study the poorly understood biology of Mdm2 and MdmX in a p53-null context. …”
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A Data Reconstruction Method for Inspection Mode in GBSAR Monitoring Using Sage–Husa Adaptive Kalman Filtering and RTS Smoothing by Yaolong Qi, Jialiang Guo, Jiaxin Hui, Ting Hou, Pingping Huang, Weixian Tan, Wei Xu

“…Ground-based synthetic aperture radar (GBSAR) has been widely used in the fields of early warning of geologic hazards and deformation monitoring of engineering structures due to its characteristics of high spatial resolution, zero spatial baseline, and short revisit period. …”
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Improving the Accuracy of Bone-Scintigraphy Imaging Analysis Using the Skeletal Count Index: A Study Based on Human Trial Data by Ryosuke Miki, Tatsuya Tsuchitani, Yoshiyuki Takahashi, Kazuhiro Kitajima, Yasuyuki Takahashi

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Estimation of Potential Evapotranspiration across Sri Lanka Using a Distributed Dual-Source Evapotranspiration Model under Data Scarcity by Udara Senatilleke, Himasha Abeysiriwardana, Randika K. Makubura, Faisal Anwar, Upaka Rathnayake

“…The country was divided into a grid with 6km×6km cells. The meteorological data, including rainfall, temperature, relative humidity, wind speed, net solar radiation, and pan evaporation, for 14 meteorological stations were used in this analysis. …”
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Using the LTO Network Level 1 Blockchain to Automate Inter-Organizational Business Processes by Khrypko Serhii L., Shcherbakov Serhii S.

“…The article describes a scenario-based approach to defining a workflow containing states, actions, participants, assets, and embedded data objects. The features of data objects, participant identifiers, process execution and its adaptability are detailed. …”
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Enhancing privacy and traceability of public health insurance claim system using blockchain technology by Andry Alamsyah, I. Putu Sadhu Setiawan

“…However, this extensive coverage raises substantial concerns about data privacy and traceability, particularly during the claim process, as policyholders currently have limited control over and insight into how their data is accessed and used.MethodsTo address these challenges, we propose a blockchain-based model designed to enhance policyholders’ private control over data access and improve traceability throughout the NHI claim process. …”
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