Artificial intelligence driven mental health diagnosis based on physiological signals by P.R. Naregalkar, A.A. Shinde, M.V. Patil

“…Diagnosing stress in the early stage can be helpful to minimize the risk of stress-related issues and enhance the overall well-being of the patient. …”
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Non-Destructive Detection of Chilled Mutton Freshness Using a Dual-Branch Hierarchical Spectral Feature-Aware Network by Jixiang E, Chengjun Zhai, Xinhua Jiang, Ziyang Xu, Muqiu Wudan, Danyang Li

“…By leveraging multi-head attention and cross-scale fusion, the model more effectively captures both the overall spectral variation trends and fine-grained feature details. Third, at the classification output stage, dynamic loss weighting is set according to training epochs and relative losses to balance classification performance, effectively mitigating the impact of insufficiently discriminative intermediate features. …”
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Optimizing Monkeypox Lesions Detection With a Lightweight Hybrid Model by Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Abduljabbar S. Ba Mahel, Ahmed Aziz, Mashael M. Khayyat, Ammar Muthanna

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Taxation and Budget Reform Commission (TBRC) Constitutional Amendment 4: Property Tax Exemption of Perpetually Conserved Land; Classification and Assessment of Land Used for Conser... by Rodney L. Clouser

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Taxation and Budget Reform Commission (TBRC) Constitutional Amendment 4: Property Tax Exemption of Perpetually Conserved Land; Classification and Assessment of Land Used for Conser... by Rodney L. Clouser

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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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Development technology progress of heavy oil and establishment and application practice of new classification standard: A case study of development of heavy oil in Shengli Oilfield by SHU Qinglin,WEI Chaoping,YU Tiantian,JI Bingyu,ZHANG Zhongping,ZHENG Wangang

“…Based on the technical characteristics and field application effects, a new classification standard of heavy oil based on technical adaptability has been established. …”
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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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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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Nomenclature savante et classement profane by Laurence Proteau

“…In the French public secondary schools, administrators (most often secretaries) are asked to enter the parents’ occupations, which are frequently loosely specified by the families, into an official nomenclature, the Classification of Occupations and Social Groups (PCS) issued by INSEE in 1982. …”
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SCite‐HRNet: A self‐calibrating efficient network for pose estimation by Nan Xiang, Xingdi Rao, Wenjing Yang, Jin Chen, Lifang Zhu

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eviewing and criticizing the semantic network of religious-ethical concepts in the Qur'an in the view of Izutsu by seyed mohsmmsd akbarian

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Examining Fernando Sor’s Étude Books Written for Classical Guitar by İbrahim Şevket Güleç

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Detection of hydrophobicity grade of insulators based on AHC-YOLO algorithm by Shaotong Pei, Weiqi Wang, Peng Wu, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…These achievements not only meet the needs for the detection and classification of composite insulator hydrophobicity but also further demonstrate the effectiveness and superiority of the algorithm through ablation and comparative experiments.…”
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ANALISIS JENIS BUDIDAYA TEBU MENGGUNAKAN ALGORITMA RANDOM FOREST (STUDI KASUS KECAMATAN TAJINAN, KABUPATEN MALANG) by Muhammad Nurhadi, Prima Widayani, Sandy Budi Wibowo

“…The difference between the classification results and the field data shows that the imbalance in the number of samples and spectral similarity between classes are the main challenges in mapping sugarcane cultivation. …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…However, grade recognition is a challenging issue for radiologists involved in automated diagnosis and healthcare monitoring. …”
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High-resolution RGB image dataset for wheat seed varietal identification and purity assessmentZenodoMendeley Data by Mehreen Nawaz, Sadaf Safder, Shazia Riaz, Saqib Ali

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Meteoroid Stream Identification with HDBSCAN Unsupervised Clustering Algorithm by Eloy Peña-Asensio, Fabio Ferrari

“…However, overlapping clusters and background noise hinder classification, an issue amplified for missions such as the European Space Agency’s Lunar Meteoroid Impact Observer that rely on meteor shower observations to infer lunar meteoroid impact parameters. …”
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TRANSFORMATION PROCESSES OF THE ASTYONYMS ON THE GEOGRAPHICAL MAP OF KAZAKHSTAN (LATE XIX - EARLY XXI CENTURIES) by T. I. Gerasimenko, D. Z. Iskaliyev

“…The relevance of this issue from the point of view of the study of toponymy as part of the geo-cultural space have been emphasized. …”
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