Challenges in developing a digital pathology consultation network: insights from the MELCAYA experience by Dario Di Gangi, Roberta Gugliotta, Filippo Ugolini, Anna Szumera-Ciećkiewicz, Llucia Alos, Natalia Castrejón, Stephan Forchhammer, Barbara Valeri, Nicolas Macagno, Sule Ozturk Sari, Ozge Hurdogan, Sokol Sina, Sylvie Fraitag, Valerio Gaetano Vellone, Chiara Trambaiolo, Rita Alaggio, Sabrina Rossi, Giovanni Arcuri, Daniela Massi, Claudio Conti

“…Twenty-four cases (11.5 %) exhibited major discordances on melanoma vs atypical melanocytic lesions classification, underscoring the importance of centralized pathological review. …”
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The Horizon of Expectation for an Implicit Reader A Critical Review on the Book Nazaruyat Alqira'at Walta'awyl Al'adabii Waqadaya (Reading Theories and Literary Interpretation and... by Omid Izanloo

“…The contents of the book are simplified in a way that is easily understood by the audience but a large number of chapters and titles has caused the dispersion and incoherence of the most important issues in this theory and in practice, the reader of the book cannot have a coherent classification of this theory and its related branches. …”
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Novel approach for Arabic fake news classification using embedding from large language features with CNN-LSTM ensemble model and explainable AI by Omar Ibrahim Aboulola, Muhammad Umer

“…This study addresses this critical issue by advancing fake news detection in Arabic and overcoming limitations in existing approaches. …”
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Evaluation of thyroid lesions by fine-needle aspiration cytology based on Bethesda system for reporting thyroid cytopathology classification among the population of South Bihar by Richa Bhartiya, Mahasweta Mallik, Nawanita Kumari, Brijendra Narayan Prasad

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An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data. by Priyanka Roy, Fahim Mohammad Sadique Srijon, Pankaj Bhowmik

“…This study focuses on achieving high classification accuracy while prioritizing stable performance. …”
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The Implementation Path for a Policy Balancing Cultivated Land Occupation and Reclamation Based on Land-Type Classification—A Case Study in Heilongjiang Province by Yanan Liu, Wei Zou, Kening Wu, Xiao Li, Xiaoliang Li, Rui Zhao

“…Food security is a fundamental issue that has long been of great concern, and cultivated land resources are the core elements of food security. …”
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Integrating LiDAR Point Cloud Classification and Building Footprints for Enhanced 3D LOD Building Modeling: A Deep Learning Approach by L. Lakshmanan, S. Nagarajan

“…3D Building modeling is crucial for urban planning, helping stakeholders make informed decisions on critical issues such as flood risk assessment, urban heat island effect, and sustainable infrastructure development. …”
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Advanced deep learning and transfer learning approaches for breast cancer classification using advanced multi-line classifiers and datasets with model optimization and interpretabi... by Xiang Zhang, Wei Shao, Ming Qiu, Chenglin Xiao, Liming Ma

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Secret Elliptic Curve-Based Bidirectional Gated Unit Assisted Residual Network for Enabling Secure IoT Data Transmission and Classification Using Blockchain by Mahaboob Basha Shaik, Yamarthi Narasimha Rao

“…In recent days, a wide range of Internet of Things (IOT) related applications are employed for automated services. Various issues such as security, reliability and fault tolerance has restricted the use of IoT services in real time environments. …”
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An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation by Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, Mohd Asif Shah, Sami Azam

“…Abstract This study presents a novel privacy-preserving self-supervised (SSL) framework for COVID-19 classification from lung CT scans, utilizing federated learning (FL) enhanced with Paillier homomorphic encryption (PHE) to prevent third-party attacks during training. …”
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Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification by Modigari Narendra, T. S. Harshini, L. Jani Anbarasi

“…Additionally, the accuracy and generalization capability of the classification system is improved by analysing the data from both the chatbot and image analysis. …”
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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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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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Examining Fernando Sor’s Étude Books Written for Classical Guitar by İbrahim Şevket Güleç

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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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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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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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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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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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