Deep Learning Models for Image Classification Advances in Convolutional Neural Network Architectures by Kumar Pathak Prakash, M Srivani, M Diwakaran, R Purushothaman, Sheeba Adlin, R Ahila

“…But there are challenges posed by current CNN models, either due to computational expense, limited explainability, or poor generalization across domains. …”
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ORBNet: Original Reinforcement Bilateral Network for High-Resolution Remote Sensing Image Semantic Segmentation by Yijie Zhang, Jian Cheng, Yanzhou Su, Yuheng Wu, Qijun Ma

“…Semantic segmentation of high-resolution remote sensing images (HRRSIs) is a basic research in the field of remote sensing image processing. Many current CNN-based methods complete detailed segmentation by building an encoder–decoder network. …”
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Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments by Sai Babu Veesam, B. Tarakeswara Rao, Zarina Begum, R. S. M. Lakshmi Patibandla, Arvin Arun Dcosta, Shonak Bansal, Krishna Prakash, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren

“…Both traditional graphs based and even the current CNN-RNN systems fail to capture complex social interactions and spatiotemporal dependencies; therefore, much is limited in such scenarios where people crowd. …”
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Weak-lensing Mass Reconstruction of Galaxy Clusters with a Convolutional Neural Network. II. Application to Next-generation Wide-field Surveys by Sangjun Cha, M. James Jee, Sungwook E. Hong, Sangnam Park, Dongsu Bak, Taehwan Kim

“…Rubin Observatory, we generated training data sets of mock shear catalogs with a source density of 33 arcmin ^−2 from cosmological simulation ray-tracing data. We find that the current CNN method provides high-fidelity reconstructions consistent with the true convergence field, restoring both small- and large-scale structures. …”
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Machine Learning-Potato Leaf Disease Detection App (MR-PoLoD) by Ahmad Fauzi, Annisya E Chandra, Sofyah Imammah, Malvin Zapata, Marza I Marzuki, Soni Prayogi

“…This application uses the CNN (Convolutional Neural Network) Machine Learning Algorithm because currently, CNN is recognized as the most efficient and effective model in pattern and image recognition tasks. …”
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