The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion by Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai

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A Unified Deep-Domain Adaptation Framework: Advancing Feature Separability and Local Alignment by Pranav Kumar, Jimson Mathew, Rakesh Kumar Sanodiya, Avinash Kumar Chouhan, Rahul Reddy Bukkasamudram, Chandra Sai Teja Adhikarla

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Automatic crop type mapping based on crop-wise indicative features by Junru Yu, Longcai Zhao, Yanfu Liu, Qingrui Chang, Na Wang

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Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative by Xin Yu Teh, Pauline Shan Qing Yeoh, Tao Wang, Xiang Wu, Khairunnisa Hasikin, Khin Wee Lai

“…The image features and demographic embeddings are combined into a unified vector before classification. Extensive experiments were conducted to evaluate the performance of these models across different class categories and dataset sizes. …”
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ON THE QUESTION OF THE PRINCIPLES OF FAMILY LAW by NESMEIANOVA I.A.

“…The main purpose of the article is to consider certain issues of a publiclegal and private-legal nature, proving the expediency of changing fundamental provisions in family legislation aimed at regulating family legal relations. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…This technological advancement addresses a crucial public health issue by enhancing diagnostic accuracy, efficiency, and accessibility. …”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…Air pollution is a vital environmental and public health issue responsible for millions of early deaths worldwide every year. …”
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MODERN FAMILY VALUES AND THEIR FEATURES by NESMEIANOVA I.A.

“…The problems under consideration include the very concept of family values, as well as the classification of family values. In our opinion, it is advisable to rely on the classification of A.I. …”
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The characteristics of Roman Private Law Sources by K. S. Naumenko

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Artificial Intelligence in Dermatology: A Review of Methods, Clinical Applications, and Perspectives by Agnieszka M. Zbrzezny, Tomasz Krzywicki

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Integrated Diagnostics and Prognostics of Rotating Machinery by Kam W. Ng

“…Technical issues, recommendations, and future research directions are also addressed.…”
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Sara Detection on Social Media Using Deep Learning Algorithm Development by M. Khairul Anam, Lucky Lhaura Van FC, Hamdani Hamdani, Rahmaddeni Rahmaddeni, Junadhi Junadhi, Muhammad Bambang Firdaus, Irwanda Syahputra, Yuda Irawan

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Fractal and chaotic map-enhanced grey wolf optimization for robust fire detection in deep convolutional neural networks by Yassine Bouteraa, Mohammad Khishe

“…Abstract This paper introduces a novel approach to enhancing the architecture of deep convolutional neural networks, addressing issues of self-design. The proposed strategy leverages the grey wolf optimizer and the multi-scale fractal chaotic map search scheme as fundamental components to enhance exploration and exploitation, thereby improving the classification task. …”
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Conflits de proximité et rapport(s) au(x) droit(s) by Antonio Azuela, Patrice Melé, Vicente Ugalde

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Novel insights toward diagnosis and treatment of glioneuronal and neuronal tumors in young adults by Vincenzo Di Nunno, Marta Aprile, Lidia Gatto, Alicia Tosoni, Lucia Ranieri, Stefania Bartolini, Enrico Franceschi

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Multi‐function radar work mode recognition based on residual shrinkage reconstruction recurrent neural network by Lihong Wang, Kai Xie

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Predicting Bank Loan Risks Using Machine Learning Algorithms by Maan Alsaleem, Safwan Hasoon

“…Nowadays, there are many risk-related issues associated with bank loans. With the advent of computerization systems, banks have become able to register borrowers' data according their criteria. …”
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Decision Making Support System for the Diagnostics of the Cardiovascular System Pathologies by the X-ray Images of the Chest by A. G. Radzhabov

“…One of the most impor tant issues in solving the problems of automating the classification of medical images is data preparation. …”
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Early Detection of Alzheimer’s Disease: An Extensive Review of Advancements in Machine Learning Mechanisms Using an Ensemble and Deep Learning Technique by Renjith Prabhavathi Neelakandan, Ramesh Kandasamy, Balasubramani Subbiyan, Mariya Anto Bennet

“…Moreover, the Synthetic Minority Oversampling Technique (SMOTE) is employed to address class imbalance issues. The proposed system employs an Ensemble Classification algorithm, which integrates the outcomes of multiple predictive models to enhance diagnostic accuracy. …”
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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…Additionally, traditional methods often struggle with noisy or missing data. To address these issues, we propose novel classification methods based on feature partitioning and outranking measures. …”
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