View-invariant object representation in anterior and posterior inferotemporal cortex: A machine learning approach by Jun-ya Okamura, Daisuke Fukano, Keisuke Murakami, Gang Wang

“…A population vector was created by aligning responses of the cells to each object image. A classifier was trained by support vector machine (SVM) to create a hyperplane that separated one object from the other three objects at the same viewing angles, and then tested by response vectors to the object images at different viewing angles. …”
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Combined localization method of roadheader based on vision and inertial navigation by Jicheng WAN, Xuhui ZHANG, Wenjuan YANG, Chao ZHANG, Zheng DONG, Yuyang DU, Mengyu LEI, Xin CHEN, Junhao YANG

“…The airborne explosion-proof camera is used to collect the laser target, and the spot center position of the laser pointer is obtained by image processing. Combined with the visual measurement model of the body pose of the roadheader and the spatial coordinate transformation, the pose data of the roadheader are obtained. …”
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Construction and scheduling optimization of renewable energy consumption forecasting system for twisted tire porcelain manufacturing industry based on deep learning by Fangrong Liao, Runlin Ran, Jiayi Zhang

“…Artificial intelligence technology is changing with each passing day, and image classification algorithms in deep learning are emerging one after another with high efficiency and accuracy. …”
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Improving myocardial infarction diagnosis with Siamese network-based ECG analysis. by Vaibhav Gadag, Simrat Singh, Anshul Harish Khatri, Shruti Mishra, Sandeep Kumar Satapathy, Sung-Bae Cho, Abishi Chowdhury, Amrit Pal, Sachi Nandan Mohanty

“…<h4>Results</h4>The classification accuracy comes out to be 98%. The algorithm works excellently with datasets having class imbalance by taking pair of images as input. …”
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Hybrid transformer-CNN network-driven optical-scanning undersampling for photoacoustic remote sensing microscopy by Yihan Pi, Jijing Chen, Kaixuan Ding, Tongyan Zhang, Hao Zhang, Bingxue Zhang, Junhao Guo, Zhen Tian, Jiao Li

“…Imaging speed is critical for photoacoustic microscopy as it affects the capability to capture dynamic biological processes and support real-time clinical applications. …”
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GeoAI Dataset for Training a Deep Learning-based GEMS Snow Detection Model by Jin-Woo Yu, Jun-Hyeok Jung, Kyoung-Hee Kang, Yong-Mi Lee, Hyung-Sup Jung

“…Recently, deep learning techniques have shown potential in image processing, outperforming traditional algorithms, which could address these limitations. …”
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Parametric Optimization of Train Brake Pad Using Reverse Engineering with Digital Photogrammetry 3D Modeling Method by P Paryanto, Muhammad Faizin, R Rusnaldy

“…This was followed by processing 2D images using Agisoft Metashape 2.2.1 software and Artificial Intelligence (AI) algorithms to create a precise 3D model. …”
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UAV-Enabled Inspection System With No-Fly Zones: DRL-Based Joint Mobile Nest Scheduling and UAV Trajectory Design by Jin Dai, Yunfei Gao, Chao Cai, Wei Xiong, Manjia Liu

“…To solve these issues, we first model the proposed problem as a Markov decision process (MDP). Then we propose an efficient two-step optimization method that involves optimizing the UAV trajectory with a modified multi-step dueling DDQN (MSD-DDQN) algorithm and planning the mobile nest&#x2019;s path using the A* algorithm. …”
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Digital preservation and access strategies for overseas Chinese documents: challenges and solutions by Mingwei Tian

“…With the help of AI, human resources, and already existing approaches to the algorithmizing of various types of digital data (for example, images of artifacts or documents), the created descriptions of sources are gradually being universalized and unified through the practice of database queries, and access to them is simplified using tags and ‘cloud’ data storages. …”
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3D reconstruction of digital rocks based on StyleGAN and transformer by Ting Zhang, Wenqing Zhang

“…By utilizing the attention mechanisms of Transformer, STGAN ameliorates its ability to extract features from multi-scale training images. Additionally, the incorporation of style transfer further enhances the quality of the generated images. …”
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Deep Learning dengan Teknik Early Stopping untuk Mendeteksi Malware pada Perangkat IoT by Iwang Moeslem Andika Surya, Triawan Adi Cahyanto, Lutfi Ali Muharom

“…Although CNN was initially designed for image processing, this algorithm also effectively detects complex patterns in non-image data, such as IoT network traffic, due to its ability to extract hierarchical features. …”
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An advanced 3D lymphatic system for assaying human cutaneous lymphangiogenesis in a microfluidic platform by Minseop Kim, Sieun Choi, Dong-Hee Choi, Jinchul Ahn, Dain Lee, Euijeong Song, Hyun Soo Kim, Mijin Kim, Sowoong Choi, Soojung Oh, Minsuh Kim, Seok Chung, Phil June Park

“…In addition, we rapidly analyzed prolymphangiogenic effects using methods that incorporate a high-speed image processing system and a deep learning-based vascular network analysis algorithm by 12 indices. …”
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MosaicFormer: A Novel Approach to Remote Sensing Spatiotemporal Data Fusion for Lake Water Monitors by Dongxue Zheng, Aifeng Lv

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A Robust Watermarking Scheme Based on Maximum Wavelet Coefficient Modification and Optimal Threshold Technique by Chunlei Li, Xiaowei Song, Zhoufeng Liu, Aihua Zhang, Ruimin Yang

“…During the extraction process, an optimal threshold value calculated by iterative computation is used to extract the watermark from the watermarked image under different attacks, without using the original image or watermark. …”
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Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms by Ruitong Han, Chang-Bo Liu, Wanting Sun, Shuai Yu, Haoran Zheng, Lin Deng

“…Abstract In this study, a hierarchical multi-label classification method called HFFNet-2d is proposed for the automatic classification of scanning electron microscope (SEM) images of metal failure. The method combines the advantages of convolutional neural networks (CNN) and Vision Transformers (ViT) to effectively realize hierarchical feature extraction and classification of SEM images of fracture morphologies, enabling accurate identification of metal failure mechanisms at different scales. …”
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Development of a Telegram Bot to Determine the Level of Technological Readiness by D. I. Suntsova, V. A. Pavlov, Z. V. Makarenko, P. P. Bakholdin, A. S. Politsinsky, A. S. Kremlev, A. A. Margun

“…Flowcharts reflecting the algorithm of the bot, and images demonstrating the appearance of its interface are presented. …”
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Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA by Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman

“…ICA is a powerful tool to describe invariant images perfectly. Especially, when the robot moves through a changing environment, ICA provided more accurate outcomes than the other algorithm (baseline algorithm). …”
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Bathymetry modelling of the eastern Tendrivska Bay (Ukraine) using Sentinel-2 remote sensing data by Yurii Moskalenko

“…Initially, cloud-free Sentinel-2 scenes from 28 dates in 2015–2018 were selected for the study. The preliminary processing of remote sensing data included atmospheric correction using the DSF (Dark Spectrum Fitting) algorithm, clipping to the region of interest, and merging identical visible spectrum bands from two adjacent tiles that fully covered the eastern Tendrivska Bay. …”
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An Intelligent Crow Search Optimization and Bi-GRU for Forest Fire Detection System Using Internet of Things by Syed Abdul Moeed, Bellam Surendra Babu, M. Sreevani, B. V. Devendra Rao, R. Raja Kumar and Gouse Baig Mohammed

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A hybrid parallel convolutional spiking neural network for enhanced skin cancer detection by K. Anup Kumar, C. Vanmathi

“…Initially, the input skin cancer image is pre-processed by employing Medav filter to eradicate the noise in image. …”
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