IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition by Mashael Maashi, Huda G. Iskandar, Mohammed Rizwanullah

“…At the primary stage, the SACHI-SLRHDL technique utilizes bilateral filtering (BF) for image pre-processing to increase the excellence of the captured images by reducing noise while preserving edges. …”
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Numerical Background-Oriented Schlieren for Phase Reconstruction and Its Potential Applications by Shiwei Liu, Yichong Ren, Haiping Mei, Zhiwei Tao, Shuran Ye, Xiaoxuan Ma, Ruizhong Rao

“…This framework integrates two stages: forward modeling, using ray tracing to simulate image degradation, and inverse processing, using optical flow and a conjugate gradient algorithm to extract displacements and reconstruct phase information. …”
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A study on the non-contact measurement of sunflower disk inclination and its application to accurate phenotypic analysis by Qiang Wang, Kaixuan Li, Zihao Gao, Xinyuan Wei, Yaoyu Li, Yangcheng Lv, Wuping Zhang

“…After achieving precise region segmentation through image processing, the geometric analysis module performs elliptical fitting on the flower head contour to obtain the main axis direction, performs curve fitting on the stem contour, and selects the tangent direction at the intersection point of the flower head. …”
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PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

“…Furthermore, many existing autonomous-flight-control algorithms for UAVs are computationally demanding, which limits their deployment on embedded devices with constrained memory and processing power, thereby affecting both operational efficiency and the safety of UAV missions. …”
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Portable Influenza Virus Detection Device Based on Isothermal Amplification of Nucleic Acids by Zhang Kexin, Gu Hongcheng

“…The fluorescence detection system and its related image- processing algorithms exhibited excellent sensitivity and accuracy. …”
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A High Performace of Local Binary Pattern on Classify Javanese Character Classification by Ajib Susanto, Daurat Sinaga, Christy Atika Sari, Eko Hari Rachmawanto, De Rosal Ignatius Moses Setiadi

“…To improve KNN performance in Javanese character written by the author, and to prove that feature extraction is needed in the process image classification of Javanese character. …”
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Method for determining the mechanical characteristics of viscoelastic soils by A. E. Gladkov, T. V. Maltseva, N. P. Isakova

“…Experimental studies of processes in soil foundations under load show that soils exhibit viscoelastic properties. …”
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Motion standard level system based on Internet of things by Miao Yu

“…Recognition of motion level is a popular research area in the field of image processing in recent years. Based on the sensor equipment of action data acquisition, this article analyses the sensitivity of the micro-electro-mechanical system sensor. …”
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Towards full integration of explainable artificial intelligence in colon capsule endoscopy’s pathway by Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Smith Khare, Vinay C. Gogineni, Victoria Blanes-Vidal, Gunnar Baatrup

“…This is due to several factors, such as low quality bowel cleansing, logistical challenges around both delivery and collection of the capsule, and most importantly, the tedious manual assessment of images after retrieval. Our study, built on the “Danish CareForColon2015 trial (cfc2015)” is aimed at closing this gap, by focusing on the full integration of AI in CCE’s pathway, where image processing steps linked to the detection, localization and characterisation of important findings are carried out autonomously using various AI algorithms. …”
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Convolutional neural network for maxillary sinus segmentation based on the U-Net architecture at different planes in the Chinese population: a semantic segmentation study by Jiayi Chen

“…The marked regions (maxillary sinus) were labelled for training and testing in the original images. The training process was performed for 40 epochs using a learning rate of 0.00001. …”
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A deep learning model with machine vision system for recognizing type of the food during the food consumption by Pouya Bohlol, Soleiman Hosseinpour, Mahmoud Soltani Firouz

“…The results of this deep learning algorithm demonstrated remarkable performance, achieving 100% accuracy in identifying images of food-consumed products within 16 classes when using EfficientNetB7 and the Lion optimizer. …”
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A Fuzzy Logic-Based Video Subtitle and Caption Coloring System by Mohsen Davoudi, M. B. Menhaj, Nima Seif Naraghi, Ali Aref, Majid Davoodi, Mehdi Davoudi

“…An approach has been proposed for automatic adaptive subtitle coloring using fuzzy logic-based algorithm. This system changes the color of the video subtitle/caption to “pleasant” color according to color harmony and the visual perception of the image background colors. …”
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Criteria for equipment defects for thermal power substation control system by A. D. Zaripova, D. K. Zaripov, A. E. Usachev

“…The present state of diagnostic tools, data transfer and processing allows to create automated system of continuous control of substation equipment based on thermal imagers, permanently installed such as surveillance cameras. …”
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A Hybrid Approach of DenseNet121 with Attention and Bi-LSTM for Yoga Pose Estimation by Aarthy K., Alice Nithya

“…This study presents an Automated Pose Recognition system using Enhanced Chicken Swarm Optimization with Deep Learning (APR-ECSODL), a cutting-edge solution for identifying and categorizing human postures from images and videos with high accuracy. The system is designed to integrate advanced AI techniques, providing an innovative approach to pose recognition that leverages several sophisticated machine learning models and algorithms to enhance performance. …”
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Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

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Momentum-Accelerated Incoherent Fourier Ptychographic Photography by Weilong Wei, Zongliang Xie, Haotong Ma, Bo Qi, Ge Ren

“…Incoherent Fourier Ptychography (IFP) is a super-resolution imaging method, which requires lots of iteration time to recover the high-resolution object image from raw images. …”
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Extreme Learning Machine and Moving Least Square Regression Based Solar Panel Vision Inspection by Heng Liu, Caihong Zhang, Dongdong Huang

“…Through learning from image samples, many features of industry objects, such as shapes, positions, and orientations angles, can be obtained and then can be well utilized to determine whether there is defect or not. …”
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Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches by Naveen Kumar Vaegae, Kranthi Kumar Pulluri, Kalapraveen Bagadi, Olutayo O Oyerinde

“…The proposed DDDS scheme contains the pre-processing module, image augmentation techniques, and two classification modules based on deep learning architectures. …”
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Binary Large Object-Based Approach for QR Code Detection in Uncontrolled Environments by Omar Lopez-Rincon, Oleg Starostenko, Vicente Alarcon-Aquino, Juan C. Galan-Hernandez

“…The proposal consists in recognizing geometrical features of QR code using a binary large object- (BLOB-) based algorithm with subsequent iterative filtering QR symbol position detection patterns that do not require complex processing and training of classifiers frequently used for these purposes. …”
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An Assessment of the Use of Visual Odometry in Localization by İ. Yakar, R. A. Kucak, S. Bilgi

“…The process commonly involves detecting and matching key points or features in the images, such as corners or edges, and then using algorithms to calculate the camera's motion. …”
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