An Analysis of Intelligent Turkish Text Classification Models for Routing Calls in Call Centers: A Case Study on the Republic of Turkiye Ministry of Trade Call Center by Muammer Özdemir, Yasin Ortakcı

“…This paper addresses these issues by presenting an AI-driven text classification framework tailored for the Republic of Turkiye Ministry of Trade Call Centre (MTCC), with the aim of automatically routing calls to relevant departments. …”
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S²PNet: An Interactive Learning Framework for Addressing Spatial–Spectral Heterogeneity in H² Imagery Classification by Shuai Zhang, Yonghua Jiang, Chengjun Wang, Meilin Tan, Bin Du, Feng Tian

“…However, the exacerbated spatial–spectral heterogeneity poses new challenges for classification. In this study, an interactive learning framework was proposed to address the current issues in H² imagery classification. …”
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Conceptual framework for data harmonisation in mental health using the International Classification of Functioning, Disability and Health: an example with the R2D2-MH consortium by Louise Gallagher, Tony Charman, Dieter Wolke, Jan Buitelaar, Sven Bölte, Emily Jones, Thomas Bourgeron, Marie Schaer, Kristien Hens, Declan Murphy, Melissa H Black, Christine Ecker, Yair Sadaka, Beate St Pourcain, Stef Bonnot-Briey

“…Introduction Advancing research and support for neurologically diverse populations requires novel data harmonisation methods that are capable of aligning with contemporary approaches to understanding health and disability.Objectives We present the International Classification of Functioning, Disability and Health (ICF) as a conceptual framework to support harmonisation of mental health data and present a proof of principle within the Risk and Resilience in Developmental Diversity and Mental Health (R2D2-MH) consortium.Method 138 measures from various mental health datasets were linked to the ICF following the WHO’s established linking rules.Findings Findings support the notion that the ICF can assist in the harmonisation of mental health data. …”
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An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost... by Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad

“…Traditional methods often neglect these issues, leading to skewed predictions and poor performance. …”
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A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA) by Charmayne Mary Lee Hughes, Yan Zhang, Ali Pourhossein, Terezia Jurasova

“…BackgroundPhysical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. …”
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CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification—leveraging deep learning models for enhanced diagnostic accuracy by Zahra Taghados, Zohreh Azimifar, Malihezaman Monsefi, Mojgan Akbarzadeh Jahromi

“…Abstract Cervical cancer is a significant global health issue affecting women worldwide, necessitating prompt detection and effective management. …”
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“Service” versus “Education” in Anesthesiology: Domain Classification of Activities Based on Perceptions from Learners and Teachers by Li J, Lin HM, Yanez ND, He Z, Treggiari MM, Kurup V

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SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 by Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…This study addresses this critical issue by developing a robust and accurate system for classifying Bangladesh’s ten most common skin diseases using convolutional neural networks (CNNs)-based transfer learning models. …”
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Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic... by Liang L, Pang J, Zhang B, Que Q, Gao R, Wu Y, Peng J, Zhang W, Bai X, Wen R, He Y, Yang H

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Hunger Solution: One-Dimensional and Multi-Dimensional Food Security Programs by Saada Reuveni

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Study of Forest Landscape on the Territory of Pirin National Park in Relation to Soil Health by Diana Malinova, Kameliya Petrova

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Idiopathic inflammatory myopathy: From muscle biopsy to serology by Ritu Verma, Vimal Kumar Paliwal

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How to Talk to Your Classifier: Conditional Text Generation with Radar–Visual Latent Space by Julius Ott, Huawei Sun, Lorenzo Servadei, Robert Wille

“…A critical issue in this area is the effective alignment of coded text with corresponding images. …”
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Taxonomy as a Genre and Cycle-Forming Pattern of “Fandorin corpus” by B. Akunin by A. B. Borunov, O. V. Afanasyeva

“…The issue of classification as the leading principle of organizing the set of texts by B. …”
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Resolved epilepsy: an updated insight by S. A. Gromov, N. A. Sivakova

“…Classification of epilepsy is of great importance at the stages of rehabilitation when the disease is considered resolved. …”
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Quantitative evaluation of tight gas reservoir classification based on analytic hierarchy process: A case study of Penglaizhen Formation gas reservoir in Xinchang Gas Field by ZHOU Feng,HUANG Shilin,LI Xiaoming,LIAO Kaigui,LI Yong

“…This approach simplifies complex issues and quantifies qualitative aspects, facilitating a more structured evaluation. …”
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Conditional Generative Adversarial Networks and Deep Learning Data Augmentation: A Multi-Perspective Data-Driven Survey Across Multiple Application Fields and Classification Archit... by Lucas C. Ribas, Wallace Casaca, Ricardo T. Fares

“…While these methods produce realistic samples, important issues persist concerning how well they generalize across different classification architectures and their overall impact in accuracy improvement. …”
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3-D–2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification by Chinsu Lin, Hung-Yi Chien, Keng-Hao Liu

“…These findings highlight Hybrid-LtCNN’s scalability, interpretability, and potential for practical applications in remote sensing-based plant species classification.…”
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Using geospatial techniques to detect land cover changes in Baqubah district, Diyala, Iraq. by Ahmed B. Khalaf, Suha A. Hitler, Shyma T. Faleh

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VLOGGER-BOYS AND VLOGGER-GIRLS! LINGUISTIC AND STYLISTIC CHARACTERISTICS OF GENDER AS A SOCIAL FACTOR IN THE SPEECH OF BULGARIAN SOCIAL MEDIA by Asya CHAMOVSKA, Sofia MITSOVA

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