Predicting Social Unrest Events with Hidden Markov Models Using GDELT by Fengcai Qiao, Pei Li, Xin Zhang, Zhaoyun Ding, Jiajun Cheng, Hui Wang

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The evaluation of performance for agroecological greenhouse tomato strategies by the CRITIC-OWA model by José Manuel Brotons-Martínez, José María Cámara-Zapata

“…Three extensions are considered based on this model depending on the way the multicriteria score is calculated: i) the ranking is carried out on the relative score (S) of each alternative (IPOWA-S-CRITIC), ii) on the weighting vector (W) (IPOWA-W-CRITIC), or iii) on both (IPOWA-S-W-CRITIC).ResultsThe results of the classifications conducted indicate that the use of mobile photovoltaic mesh is a sustainable production strategy, due to its effect on production and quality of the crop, CO2 fixation, and irrigation water savings.DiscussionThe use of mobile photovoltaic shades is compatible with tomato cultivation in a greenhouse if the management of the installation is performed considering the needs of the plants in most of the rankings.…”
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An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

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Groundwater fluoride modeling using an artificial neural network: a review by Neeta Kumari, Gaurav Kumar, Saahil Hembrom

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An Efficient Hybrid 3D Computer-Aided Cephalometric Analysis for Lateral Cephalometric and Cone-Beam Computed Tomography (CBCT) Systems by Laurine A. Ashame, Sherin M. Youssef, Mazen Nabil Elagamy, Sahar M. El-Sheikh

“…Moreover, this study integrates the Grad-CAM (Gradient-Weighted Class Activation Mapping) technique to generate heat maps, providing transparent visualization of the regions the model focuses on during its decision-making process. …”
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Forecasting Financial Literacy Levels with Respect to Consumer Shopping Behaviour by Eva Kicova, Lucia Svabova, Olga Ponisciakova, Zuzana Rosnerova

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A Deep Learning Approach for Image Analysis and Reading Body Weight From Digital Scales in Pigs Farms by Nicolas A. Reyes-Reyes, Mihai Catalin Doja, Pol Llagostera-Blasco, Lluis M. Pla-Aragones, Marcela C. Gonzalez-Araya

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MODERN INSTRUMENTAL APPROACHES TO MODELLING THE COMMERCIAL BANK’S FINANCIAL INVESTMENT POLICY by Олена Сергієнко, Наталія Волоснікова, Валерія Кочорба, Юлія Єгорова, Юлія Коломієць

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Informed-Learning-Guided Visual Question Answering Model of Crop Disease by Yunpeng Zhao, Shansong Wang, Qingtian Zeng, Weijian Ni, Hua Duan, Nengfu Xie, Fengjin Xiao

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Enhancing Structured Pathology Report Generation With Foundation Model and Modular Design by Kyung A Kim, Sungman Hong, Sehwan Yoo, Yousun Kang, Hyo Sup Shim

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A distributed hybrid model for agricultural water-land resource matching by Shufang Wang, Mohamed Khaled Salahou, Liping Wang, Honghui Sang, Shiwei Li, Yuping Lv

“…This study provides more precise risk classification zones and corresponding combination measures based on the model, which will support regional agricultural planning and irrigation decision-making.…”
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External validation of risk prediction models for post-stroke mortality in Berlin by Jessica L Rohmann, Tobias Kurth, Heinrich J Audebert, Marco Piccininni, Lukas Reitzle

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Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“…This study aims to build a multi-label classification model to classify the learning styles of elementary school students. …”
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Using machine learning models to predict post-revascularization thrombosis in PAD by Samir Ghandour, Adriana A. Rodriguez Alvarez, Isabella F. Cieri, Shiv Patel, Mounika Boya, Rahul Chaudhary, Rahul Chaudhary, Rahul Chaudhary, Anna Poucey, Anahita Dua

“…The Synthetic Minority Oversampling Technique (SMOTE) was employed to address the class imbalance between the primary outcomes (ATE vs. no ATE). Model performance was assessed by area under the curve (AUC), accuracy, sensitivity, specificity, negative predictive value, and positive predictive value.ResultsOf the 308 patients analyzed, 66% were male, 84% were White, and 18.3% experienced an ATE during the one-year post-revascularization follow-up period. …”
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Construction and application of decoupling model between sustainable development and carbon emissions by ZHAO Xujie, WANG Wenjun, XIE Pengcheng, CAI Guotian

“…[Methods] Based on the scientific thesis that climate change seriously threatens human survival and sustainable development, the construction mechanism and classification standards of the Tapio decoupling model were used in the study. …”
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Revolutionizing heart attack prognosis: Introducing an innovative regression model for prediction by Hanaa Albanna, Madhav Raj Theeng Tamang, Chandan Patel, Mhd Saeed Sharif

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Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization by Alessio Stefanelli, Sofia Zahia, Guillaume Chanel, Rania Niri, Swann Pichon, Sebastian Probst

“…All images were labeled for wound segmentation and tissue classification to train and validate deep learning models. …”
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A Hybrid CNN Framework DLI-Net for Acne Detection with XAI by Shaila Sharmin, Fahmid Al Farid, Md. Jihad, Shakila Rahman, Jia Uddin, Rayhan Kabir Rafi, Radia Hossan, Hezerul Abdul Karim

“…This study introduces a novel hybrid model that combines DeepLabV3 for precise image segmentation with InceptionV3 for classification, offering an enhanced solution for acne detection. …”
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Optimizing EEG-Based Sleep Staging: Adversarial Deep Learning Joint Domain Adaptation by Roya Ghasemigarjan, Mohammad Mikaeili, Seyed Kamaledin Setarehdan

“…Traditional methods in Deep Learning (DL) and Domain Adaptation (DA) globally compare feature distributions, often overlooking intricate decision boundaries between sleep-stage classes. This results in ambiguous features near class boundaries, diminishing classification accuracy. …”
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Predicting Course Grades Through Comprehensive Modeling of Students’ Learning Behavioral Patterns by Danial Hooshyar, Yeongwook Yang

“…Lastly, using a multiple-criteria decision-making method (i.e., TOPSIS), the best classification methods were identified for courses with different sizes. …”
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