Role of myositis-specific autoantibodies in personalized therapy by Anand N Malaviya, Sanjiv Kapoor

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End-to-End Learning Framework Incorporating Image Reconstruction and Recognition Models by Ren Shibata, Yuji Yamauchi

“…The proposed method achieves approximately 99% data compression without degrading classification performance. It improves image quality by 2.1 dB and classification accuracy by 11.2% over the baseline. …”
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Diagnosis and Detection of Alzheimer’s Disease Using Learning Algorithm by Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, Rohit Agarwal, Neeraj Varshney, Ankit Kumar

“…In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer’s Disease (AD) and brain tumors are the primary reasons of death. …”
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Hydraulic brake fault detection from acoustic signals using frequency domain filter bank integrated deep learning framework by Saumye Saran Das, Raushan Kumar, Manas Ranjan Prusty, Tapan K. Mahanta, Subhra Rani Patra

“…Brake failure is a critical safety issue in the automotive industry, often resulting from mechanical wear, hydraulic malfunctions, or electronic failure. …”
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A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis by Alali Abdulla Mousa Falah, Padmaja Dhyaram Lakshmi, Soni Mukesh, Khan Muhammad Attique, Khan Faheem, Ofori Isaac

“…Lung cancer is a substantial health issue globally, and it is one of the main causes of mortality. …”
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SceEmoNet: A Sentiment Analysis Model with Scene Construction Capability by Yi Liang, Dongfang Han, Zhenzhen He, Bo Kong, Shuanglin Wen

“…However, current sentiment analysis models lack such imagination; they can only analyze based on existing information in the text, which limits their classification accuracy. To address this issue, we propose the SceEmoNet model. …”
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Approaches for handling imbalanced data used in machine learning in the healthcare field: A case study on Chagas disease database prediction. by André G Coimbra, Cleiane G Oliveira, Matheus P Libório, Hasheem Mannan, Laercio I Santos, Elisa Fusco, Marcos F S V D'Angelo

“…However, a significant issue remains unresolved in this field: the handling of imbalanced data. …”
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Geospatial Data Interpretation of the Land Suitability of Heavy Chernozems (Karasolutsi) from North – East Bulgaria for Growing Agricultural Crops by Ivanka Lyubenova

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AVALENT AND MONOVALENT VERBS IN THE ALBANIAN LANGUAGE by Kadire Binaj Ejupi

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Nursing diagnoses, interventions and outcomes in the bariatric surgery postoperative care by Rosa Aparecida Nogueira Moreira, Lívia Moreira Barros, Andrea Bezerra Rodrigues, Joselany Áfio Caetano

“… One aimed to identify the nursing diagnoses of the cardiovascular/pulmonary response class belonging to the activity/rest domain, according to the taxonomy II of NANDA-I in patients in the bariatric surgery immediate postoperative period and propose the interventions and nursing outcomes according to the Nursing Interventions Classification and the Nursing Outcomes Classification. …”
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Klasifikasi Kualitas Biji Kedelai Menggunakan Transfer Learning Convolutional Neural Network Dan SMOTE by Amanda Prawita Ningrum, Sri Winarno, Vincentius Praskatama

“…However, low-quality seeds can reduce the quality of the processed products and increase production costs. To address this issue, a soybean seed quality classification system was developed using the method of Transfer Learning with CNN and SMOTE. …”
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Revisiting the cognitive and behavioral aspects of loneliness: Insights from different measurement approaches. by Andrej Skoko, Noëmi Seewer, Marcus Mund, Tobias Krieger

“…Loneliness is increasingly recognized as a critical public health issue that profoundly affects psychological well-being and social functioning. …”
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A review on label cleaning techniques for learning with noisy labels by Jongmin Shin, Jonghyeon Won, Hyun-Suk Lee, Jang-Won Lee

“…In practice, however, labels can be corrupted by human error or mistakes, known as label noise, which degrades classification accuracy. To address this issue, recently, various works propose the algorithms to clean datasets with label noise. …”
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THE JOURNEY TO THE LAND IATROGENESIS by L. I. Dvoretsky

“…The first message introduces readers with a history issue, the origins of the doctrine of iatrogenesis, the first appearance of the term definitions iatrogenesis. …”
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Paroxysmal atrial fibrillation: treatment choice by B. A. Tatarsky

“…Characteristics and classification of various paroxysmal atrial fibrillation (AF) forms are presented. …”
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Clinical and Social Aspects of Psoriatic Arthritis in Pediatrics by Andrey L. Bakulev, Ekaterina E. Talnikova

“…Psoriatic arthritis is pending issue in modern pediatric dermatology. This review highlights issues of epidemiology, clinical signs, classification, diagnosis, management of comorbid conditions of psoriatic arthritis, as well as social aspects of the disease.…”
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Anomaly-Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms by Belal Al-Fuhaidi, Zainab Farae, Farouk Al-Fahaidy, Gawed Nagi, Abdullatif Ghallab, Abdu Alameri

“…These drawbacks include difficulties in determining the appropriate dataset, the problem of feature selection, and the issue of the imbalanced dataset and choosing the appropriate algorithms for the classification process in WSN. …”
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Enhance Social Network Bullying Detection Using Multi-Teacher Knowledge Distillation With XGBoost Classifier by Sathit Prasomphan

“…Cyberbullying remains a pressing issue in Thai social media, especially among teenagers. …”
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A survey on textual emotion cause extraction in social networks by Sancheng Peng, Lihong Cao, Guojun Wang, Zhouhao Ouyang, Yongmei Zhou, Shui Yu

“…Textual Emotion Cause Extraction (TECE) aims to automatically extract causes for a certain emotion in texts, which is an important research issue in natural language processing. It is different from the previous tasks of emotion recognition and emotion classification. …”
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Review of the book by A. Kh. Abashidze, M. V. Fedorov, I. A. Chistokhodova “The Law of Foreign Relations”, Moscow, RUDN University, 2007. by A. A. Kovalev

“…Authors also provide a classification of special missions and use for this purpose different criteria. …”
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