Smart Waste Management Framework for Green Cities: Integrating IoT, LoRa, and Deep Learning for Efficient Waste Classification and Management by Suprava Ranjan Laha, Khalid Al Smadi, Ahmad Khader Habboush, Binod Kumar Pattanayak, Saumendra Pattnaik, Bibhuprasad Mohanty

“… Waste management is recognized as a crucial issue in modern civilization, requiring substantial effort and resources while significantly impacting various societal aspects. …”
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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

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Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit by Pravin Balaso Chopade, Prabhakar N. Kota, Bhagvat D. Jadhav, Pravin Marotrao Ghate, Shriram Sadashiv Kulkarni

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An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model by Rajesh Kannan Megalingam, Kariparambil Sudheesh Sankardas, Sakthiprasad Kuttankulangara Manoharan

“…In this research study, we propose an empirical error model-based artifact removal approach for the cross-subject classification of motor imagery (MI) EEG data using a modified CNN-based deep learning algorithm, designed to assist wheelchair users with severe mobility issues. …”
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Wind energy system fault classification and detection using deep convolutional neural network and particle swarm optimization‐extreme gradient boosting by Chun‐Yao Lee, Edu Daryl C. Maceren

“…Thus, this research innovatively addresses the challenges in wind energy system fault classification and detection, emphasising the integration of robust machine learning methodologies. …”
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On classification approaches, terminology and modern principles of treatment of pathologies associated with high myopia. Part 1. Criteria for high myopia and pathological myopia by V. V. Neroev, O. V. Zaytseva, E. P. Tarutta, E. V. Bobykin, M. A. Kovalevskaya, R. R. Fayzrakhmanov, P. A. Nechiporenko

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Comorbidity, multimorbidity, dual diagnosis — synonyms or different terms? by O. M. Drapkina, A. M. Shutov, E. V. Efremova

“…The terms “comorbidity”, “multimorbidity”, “dual diagnosis” are considered in terms of conceptual differences. The issues of diagnostics, classification and modern clinical recommendations for patients with combined pathology are also discussed. …”
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Isolation and Classification of Green Alga Stigeoclonium attenuatum and Evaluation of its Ability to Prepare Zinc Oxide Nanoflakes for Methylene Blue Photodegradation by Sunlight by Marwa A. Aubaeed, Amjed Mirza Oda, Emad Y.A. AL-Sultan

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A novel hybrid fruit fly and simulated annealing optimized faster R-CNN for detection and classification of tomato plant leaf diseases by E. Gangadevi, Ben Othman Soufiane, Balamurugan Balusamy, Firoz Khan, Masresha Getahun

“…By hybridizing the fruit fly optimization algorithm and simulated annealing, the Faster R-CNN’s hyper-parameter issues are addressed, and the convergence rate is improved. …”
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Application of pre-magnetic separation to address grinding classification density effects and enhance iron-copper separation in deep polymetallic magnetite ores by Shiteng Qin, Sheng Dou, Yang Hu, Shijie Ma, Fulai Lai, Chuan Zhang, Chong Shen, Hongyu Zhao

“…This study investigates the challenges faced in the grinding and classification process of a polymetallic magnetite ore from Anhui, particularly focusing on low classification efficiency, significant over-grinding, and decreased metal recovery rates. …”
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Moving beyond audit: driving system learning using a novel mortality classification system in a tertiary training hospital in Kenya by Richard E Davis, Mary B Adam, Mardi Steere, Evelyn Mbugua, Faith Mailu

“…Clinical classification systems have proliferated since the APGAR score was introduced in 1953. …”
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Nonlinear comprehensive evaluation method based on information entropy and discrimination optimization by Xu Guanjun, Zeng Xijun

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Use of the International Classification of Functioning, Disabilities and Health in assessing the readiness of persons with disabilities to be accompanied when receiving services, i... by A. V. Sokurov, T. V. Ermolenko, L. A. Kozhushko, I. S. Ishutinа, S. V. Рavlova, M. V. Ryabtsev

“…Rationale for the use of the International Classification of Functioning, Disabilities and Health in assessing the degree of readiness of persons with disabilities to be accompanied when receiving services, including accompanied accommodation.Materials and methods. …”
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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…<b>Background</b>: The rapid global spread of the monkeypox virus has led to serious issues for public health professionals. According to related studies, monkeypox and other types of skin conditions can spread through direct contact with infected animals, humans, or contaminated items. …”
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MAE‐SigNet: An effective network for automatic modulation recognition by Shilong Zhang, Yu Song, Shubin Wang

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Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification by Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja

“…Many DL driven techniques have already been exploited in the literature for skin related issues, which have provided accurate results to some extent. …”
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Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks by Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su

“…Electroencephalography (EEG) signals are frequently compromised by missing data due to electrode contact issues or subject movement. Tensor decomposition has emerged as a powerful technique for analyzing multidimensional EEG data. …”
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Symptoms indicative of early knee osteoarthritis after ACL reconstruction: descriptive analysis of the SHIELD cohort by Anna Cronström, May Arna Risberg, Martin Englund, Dorthe B. Strauss, Paul Neuman, Carl Johan Tiderius, Eva Ageberg

“…Future studies will reveal if these symptoms will persist long-term or just reflect more transient issues.…”
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TEBS: Temperature–Emissivity–Driven band selection for thermal infrared hyperspectral image classification with structured State-Space model and gated attention by Enyu Zhao, Nianxin Qu, Yulei Wang, Caixia Gao, Jian Zeng

“…To address this issue, this paper proposed an unsupervised temperature–emissivity–driven band selection method (TEBS) for TIR-HSIs classification, which integrated a structured state-space model (SSM) and a gated attention mechanism (GAM). …”
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Advancing mango quality assurance: Non‐destructive detection of spongy tissue using visible near‐infrared spectroscopy and machine learning classification by Patil Rajvardhan Kiran, Md Yeasin, Pramod Aradwad, T. V. Arunkumar, Roaf Ahmad Parray

“…Additionally, it introduces innovative classification models for automated binary categorization (Healthy vs. …”
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