Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network by Nandita Goyal, Munesh Chandra Trivedi

“…Cloud forensics plays a vital role to address the security issues related to cloud computing by identifying, collecting and studying digital evidence in cloud environment.The aim of the research paper is to explore the concept of cloud forensic by applying optimization for feature selection before classification of data on cloud side. …”
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An End to End Solution for Object Classification Using Artificial Neural Networks and Ultrasonic-Based Sensors by Ahmet Karagoz, Gokhan Dindis

“…With the development of technology, target and object recognition issues are becoming increasingly important day by day. …”
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Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment by Antonio Arauzo-Azofra, Jose Molina-Baena, Maria Luque-Rodriguez

“…This study explores the use of evolutionary optimization techniques to enhance the classification of these molecules. We applied a genetic algorithm to optimize feature selection and classification performance. …”
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Evolutionary-Driven Convolutional Deep Belief Network for the Classification of Macular Edema in Retinal Fundus Images by Rafael A. García-Ramírez, Ivan Cruz-Aceves, Arturo Hernández-Aguirre, Gloria P. Trujillo-Sánchez, Martha A. Hernandez-González

“…The method leverages high-level feature extraction to mitigate issues arising from the high similarity of low-level features in noisy images. …”
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DCAI: a dual cross-attention integration framework for benign-malignant classification of pulmonary nodules by Shuling Wang, Suixue Wang, Rongdao Sun

“…To address the above issues, we propose a novel multimodal framework, the Dual Cross-Attention Integration framework (DCAI), for benign-malignant classification of pulmonary nodules. …”
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Bolt Anchorage Quality Levels Classification Method Based on HO‐VMD‐CNN‐BiLSTM by Fan Kesong, Zhang Can, Liu Shaowei, Feng Mengyin, Yan Ao, Fu Mengxiong, He Deyin, Nie Zhibin

“…In this paper, a new model named HO‐VMD‐CNN‐BiLSTM is proposed to optimize the accuracy of signal decomposition and quality classification. The model accurately identifies internal defects in bolts through precise signal decomposition and feature extraction, achieving a high classification accuracy of 96.78% even in a complex noise environment. …”
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Reduction of Energy Consumption in Mobile Cloud Computing by ‎Classification of Demands and Executing in Different Data Centers by H. Yeganeh, A. Salahi, M. A Pourmina

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Classification and recognition of spatio-temporal behavior of ships based on deep learning of trajectory feature images by Yu ZHOU, Liang HUANG, Chunhui ZHOU, Yuanqiao WEN, Yamin HUANG, Jiaci WANG

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Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification by Wei Zhou, Hangyu Zhu, Wei Chen, Chen Chen, Jun Xu

“…To address the above issues, this paper proposes an ensemble-based sequential convolutional neural network (E-SCNN) that incorporates a clustering module and neural networks. …”
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Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging by Chenming Lu, Jiayin Zhang, Ren Liu

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Theoretical aspects of the intangible assets system in the process of enterprises strategic management: definition, characteristics, classifications by V. M. Sedelnikov

“…Despite the variety of available approaches in foreign literature to the intangible assets classification, in our opinion, the classification, which includes human, customer, and structural assets (capital), is fundamental. …”
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Investigating the Sustainability of Return to Scale Classification in a Two-Stage Network Based on DEA Models by Maryam Sarparast, Farhad Hosseinzadeh Lotfi, Alireza Amirteimoori

“…The sensitivity analysis of returns to scale classifications is one of the most significant issues in data envelopment analysis (DEA), which plays an essential role in management decisions. …”
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Design of artwork resource management system based on block classification coding and bit plane rearrangement by Xiaomeng Xia

“…Moreover, they lack sufficient scalability when dealing with large-scale datasets. To address these issues, this article proposes an innovative algorithm that integrates watermarking and compression for artwork images, namely the Block Classification Coding—Bit Plane Rearrangement—Integrated Compression and Watermark Embedding (BCC-BPR-ICWE) algorithm. …”
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DFAST: A Differential-Frequency Attention-Based Band Selection Transformer for Hyperspectral Image Classification by Deren Fu, Yiliang Zeng, Jiahong Zhao

“…Existing methods fail to fully exploit first-order derivatives and frequency domain information, which limits classification performance. To address these issues, this paper proposes a Differential-Frequency Attention-based Band Selection Transformer (DFAST) for HSI classification. …”
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Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…Furthermore, our results highlight the potential of MTL in overcoming data imbalance issues. Future studies should explore integrating multiple convolutional neural network-based models to further boost classification accuracy.…”
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Improving crop rotation classification using a random forest model incorporating spatial heterogeneity by Xiaomi Wang, Qi Tang, Kang Yang

“…Accurate and timely classification of crop rotations is essential to confront the issues of agricultural management and food crisis. …”
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In-Bed Posture Classification Using Pressure Data from a Sensor Sheet Under the Mattress by André Serra, Fernando Ribeiro, José Metrôlho

“…In conclusion, using sensors under the mattress is an effective and less invasive alternative for posture classification.…”
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RanViz: Ransomware Visualization and Classification Based on Time-Series Categorical Representation of API Calls by Vhuhwavho Mokoma, Avinash Singh

“…Without effective tools to address these issues, analysts risk missing critical behavioural indicators. …”
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Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data by Yinchi Ma, Peng Luan, Yujie Zhang, Bo Liu, Lijie Zhang

“…However, MLS-based classification faces challenges, such as intricate canopy structures, incomplete point clouds from urban occlusions, and intraspecies variations. …”
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Privacy-enhanced skin disease classification: integrating federated learning in an IoT-enabled edge computing by Nada Alasbali, Jawad Ahmad, Ali Akbar Siddique, Oumaima Saidani, Alanoud Al Mazroa, Asif Raza, Rahmat Ullah, Muhammad Shahbaz Khan

“…Most existing automated detection/classification approaches that utilize machine learning or deep learning poses privacy issues, as they involve centralized computing and require local storage for data training.MethodsKeeping the privacy of sensitive patient data as a primary objective, in addition to ensuring accuracy and efficiency, this paper presents an algorithm that integrates Federated learning techniques into an IoT-based edge-computing environment. …”
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