Tumor detection in breast cancer pathology patches using a Multi-scale Multi-head Self-attention Ensemble Network on Whole Slide Images by Ruigang Ge, Guoyue Chen, Kazuki Saruta, Yuki Terata

“…Breast cancer (BC) is the most common type of cancer among women globally and is one of the leading causes of cancer-related deaths among women. …”
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Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images by Lekha S. Nair, K. R. Amarnath, Jyothisha J. Nair

“…Globally, breast cancer is the second most lethal form of cancer among women, and has high rates of incidence and mortality. …”
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Bearing fault diagnosis method based on dual-channel feature fusion by ZHANG Xiaoning, ZHU Huilong, XIN Liang, YANG Muchen, WANG Hao

“…Intelligent diagnosis method based on convolution neural network (CNN) has been widely used in bearing fault diagnosis. …”
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An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique by Lubna Kiran, Asim Zeb, Qazi Nida Ur Rehman, Taj Rahman, Muhammad Shehzad Khan, Shafiq Ahmad, Muhammad Irfan, Muhammad Naeem, Shamsul Huda, Haitham Mahmoud

“…We introduce a cutting-edge deep-learning approach employing a binary convolutional neural network (BCNN) to address this. …”
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LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments by Rui Cong, Ying Xu, Hao Su, Jiaying Zhou, Yuxi Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu, Shuang Song

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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…Our proposed deep learning framework leverages state-of-the-art convolutional neural networks (CNNs) to address these challenges. …”
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Accurate classification of benign and malignant breast tumors in ultrasound imaging with an enhanced deep learning model by Baoqin Liu, Shouyao Liu, Zijian Cao, Junning Zhang, Xiaoqi Pu, Junjie Yu

“…BackgroundBreast cancer is the most common malignant tumor in women worldwide, and early detection is crucial to improving patient prognosis. …”
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Estimation of Fractal Dimensions and Classification of Plant Disease with Complex Backgrounds by Muhammad Hamza Tariq, Haseeb Sultan, Rehan Akram, Seung Gu Kim, Jung Soo Kim, Muhammad Usman, Hafiz Ali Hamza Gondal, Juwon Seo, Yong Ho Lee, Kang Ryoung Park

“…However, until now, disease classification has mostly been performed by manual methods, such as visual inspection, which are labor-intensive and often lead to misclassification of disease types. …”
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Enhanced Intrusion Detection Using Conditional-Tabular-Generative-Adversarial-Network-Augmented Data and a Convolutional Neural Network: A Robust Approach to Addressing Imbalanced... by Shridhar Allagi, Toralkar Pawan, Wai Yie Leong

“…Models built from training data may fail to prevent or classify intrusions accurately if the dataset is imbalanced. Most researchers employ SMOTE to balance the dataset. …”
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A comparative analysis on the use of a cellular automata Markov chain versus a convolutional LSTM model in forecasting urban growth using sentinel 2A images by Reda Yaagoubi, Charaf-Eddine Lakber, Yehia Miky

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A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Cla... by Mrinal Kanti Dhar, Mou Deb, Poonguzhali Elangovan, Keerthy Gopalakrishnan, Divyanshi Sood, Avneet Kaur, Charmy Parikh, Swetha Rapolu, Gianeshwaree Alias Rachna Panjwani, Rabiah Aslam Ansari, Naghmeh Asadimanesh, Shiva Sankari Karuppiah, Scott A. Helgeson, Venkata S. Akshintala, Shivaram P. Arunachalam

“…To reduce computational complexity, a (2 + 1)D convolution is used in place of full 3D convolution. …”
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MCANet: An Unsupervised Multi-Constraint Cascaded Attention Network for Accurate and Smooth Brain Medical Image Registration by Min Huang, Haoyu Wang, Guanyu Ren

“…The brain is one of the most important and complex organs of the human body, and it is very challenging to perform accurate and fast registration on it. …”
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Computer-Aided Diagnosis of Acute Lymphoblastic Leukemiaby Using a Novel CAE-CNN Framework by Mohammed Mansoor Alhammadi

“…Therefore, fast and exact diagnosis is the most crucial factor for providing efficient management and treatment methods. …”
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A Closed-loop Detection Algorithm Based on Dynamic Time Warping by ZHU Tian, PENG Zhichuan, ZHANG Zhiteng, ZHU Zemin, XIE Yongbo, WANG Wenming

“…At the same time, it uses convolutional neural network to extract image features and the results are more advanced and abstract, and this enhances the robustness of the algorithm. …”
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Some issues of multi-criteria optimization of parameters of complex systems by R. V. Guseynov, M. R. Guseynova, K. A. Alieva

“…It is noted that the choice and formation of a generalized optimality criterion is the most responsible in solving optimization problems. …”
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Prediction and classification of wheat plant disease in Pakistan using deep learning techniques by Muhammad Usman Malik, Muhammad Faisal Hayat

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Calculus accumulation-based method for extracting values of instrumentation image by Dianming Wang, Li Zhou, Xiangxin Chen, Mingxin Yi, Xiaoju Yin

“…A double-pointer meter reading recognition scheme based on two-dimensional convolution and calculus accumulation is proposed. The weighted multifeature matching algorithm is used to accurately obtain the center coordinates of the rotating shaft to improve the success rate of meter image recognition. …”
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Ground Fissure Identification in Mining Areas from UAV Images Based on DN-CAMSCBNet by Haibin Hu, Xinhui Guo, Jie Xiao

“…Among them, ground fissures are the most serious. They not only threaten the ecological protection of mining areas but also hinder the sustainable exploitation of energy. …”
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Traction Drive Control System for Railway Electric Rolling Stock Based on the Application of Power Factor as an Optimization Criterion by Goolak S., Gorobchenko O., Holub H., Kulbovskiy I., Petrychenko O.

“…The stated objective has been achieved through the solution of the following tasks: development of an algorithm for applying traction drive power factor as an optimization criterion, taking into account stochastic disturbance effects acting on the traction drive from the traction power supply system and mechanical load; development of a structural scheme for an optimized automatic control system of electric rolling stock traction drives, in which the proposed algorithm is implemented. The most important results are: the obtained analytical time dependency of the traction drive power factor, representing a convolution of two-time functions—efficiency and active power utilization coefficient of the traction drive—and the developed algorithm for eliminating stochastic disturbance effects acting on the traction drive from the traction power supply system and mechanical load. …”
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Deep CNN ResNet-18 based model with attention and transfer learning for Alzheimer's disease detection by Sofia Biju Francis, Sofia Biju Francis, Jai Prakash Verma

“…Class imbalance also reduces performance. Transfer learning is most effective with small, imbalanced datasets, and pre-trained models with SE blocks perform better than others. …”
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