A Combined CNN-LSTM Network for Ship Classification on SAR Images by Abdelmalek Toumi, Jean-Christophe Cexus, Ali Khenchaf, Mahdi Abid

“…This study underscores the potential of customized architectures to address SAR-specific challenges and enhance the efficiency of target classification.…”
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Deep ensemble learning for gastrointestinal diagnosis using endoscopic image classification by Samra Siddiqui, Junaid Ali Khan, Shabbab Algamdi

“…The goal of proposed framework is the effective classification of endoscopic GIT images with enhanced accuracy. …”
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Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis by Rihab Lakbichi, Farouq Zitouni, Saad Harous, Aridj Ferhat, Abdelhadi Limane, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…The study intends to show how model architectural changes and optimization approaches can offer solutions to issues like overfitting and significant resource expenditure on computation and ultimately improve mushroom classification systems for efficiency and efficacy. …”
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Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica by Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti Khatri, Amit Laddi, Manojkumar Jaiswal, Vinay Kumar

“…The proposed method improves classification accuracy by 15% compared to state-of-the-art models and reduces retraining costs.…”
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A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information by Alberto Pozo, Miguel A. Patricio, Jesús García, José Manuel Molina

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The knowledge organisation of sub-subgenres: the curious case of the collaborative works of Gilbert and Sullivan by Deborah Lee

“…This paper explores the knowledge organisation of sub-subgenres and takes a micro-level approach to genre classification. The study uses a particular case study: the classification issues around the collaborative works of Gilbert and Sullivan.  …”
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Do Indian Researchers Consider Functioning Issues of Lower Extremity Osteoarthritis: A Scoping Review by P. Ratan Khuman, Balaganapathy Muruganantham

“…This scoping review describes the nature and extent to which the Indian researchers considered the functioning issues of LEOA individuals and linked them with the International Classification of Functioning, Disability, and Health (ICF) categories. …”
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Prevalence of psychotic disorders and its association with methodological issues. A systematic review and meta-analyses. by Berta Moreno-Küstner, Carlos Martín, Loly Pastor

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Retracted: Visualisation‐based binary classification of android malware using vgg16 by Aryan Marwaha, Rami Qays Malik, Shehab Mohamed Beram, Ali Rizwan, Kakarla Hari Kishore, Deepak Thakur, Tanya Gera, Mohammad Shabaz

“…This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. …”
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AdjcorT-RBFNN for Air Quality Classification: Mitigating Multicollinearity with Real and Simulated Data by Siti Khadijah Arafin, Nor Azura Md Ghani, Marshima Mohd Rosli, Nurain Ibrahim

“…Air pollution levels have remained a significant issue worldwide despite advancements in technology, primarily due to rapid industrialization and urbanization. …”
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Is This Reliable Enough? Examining Classification Consistency and Accuracy in a Criterion-Referenced Test by Susanne Alger

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Efficient feature selection for histopathological image classification with improved multi-objective WOA by Ravi Sharma, Kapil Sharma, Manju Bala

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Classification of LPG Gas Usage Satisfaction Level Using The Naïve Bayes Algorithm by Angelia Melani Adrian, Bella Alisia Patras, Junaidy B. Sanger

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Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification by Ping Li, Xiang Zhu

“…Few-shot image classification aims to classify unlabeled samples when only a small number of labeled samples are available for each class. …”
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Dynamic Voting-Based Ensemble Deep Learning for Closely Resembling Crop Classification by Engin Eşme, Muhammed Arif Şen, Halil Çimen

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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

“…Traditional classification algorithms usually assume that all samples in a dataset contribute equally to the training of a machine learning model, which is not always the case. …”
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STMSF: Swin Transformer with Multi-Scale Fusion for Remote Sensing Scene Classification by Yingtao Duan, Chao Song, Yifan Zhang, Puyu Cheng, Shaohui Mei

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Enhancing Point Cloud Classification and Segmentation With Attention-Enhanced SO-PointNet++ by Gang Cheng, Chengwei Gu

“…With the rapid advancement of deep learning in computer vision, accurately performing classification and segmentation tasks on 3D point clouds has become increasingly important. …”
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TCHAO: parallelism with transaction classification and grouping by historical access objects to scale blockchain by Bin Yu, He Zhao, Tong Zhou, Lei Chen, Yuhui Fan

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