Computerized Interactive Gaming via Supporting Vector Machines by Y. Jiang, J. Jiang, I. J. Palmer

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Unmanned aerial vehicle–assisted node localization for wireless sensor networks by Xu Yang, Zhenguo Gao, Qiang Niu

“…In response to the above limitations, this article introduces a novel localization approach by virtue of a miniature unmanned aerial vehicle based on our previous IEEE 1851 project, which is named as unmanned aerial vehicle–assisted node localization. The localization process contains three stages, which are node image collection, non-occluded node localization, and occluded node localization, respectively. …”
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Projection Histogram-Assisted Estimation of Common Phase Error in Coherent Optical OFDM Systems by Zhengxuan Li, Yun Li, Junjie Ma, Jian Chen, Yingxiong Song, Min Wang

“…In this paper, we present a novel blind common phase error estimation method in coherent orthogonal frequency division multiplexing systems using projection histogram-assisted processing. In the proposed algorithm, the constellation of the signal distorted by common phase noise is regarded as a tilted image, which can be rotated back to the right position by tilt adjustment. …”
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Design and analysis of quantum machine learning: a survey by Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang

“…Thirdly, we conduct discussions on the applications of quantum machine learning in image recognition, drug efficacy prediction and cybersecurity. …”
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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…Currently, various pre-processing algorithms exist for slicing and compressing event streams. …”
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A Micro-Topography Enhancement Method for DEMs: Advancing Geological Hazard Identification by Qiulin He, Xiujun Dong, Haoliang Li, Bo Deng, Jingsong Sima

“…This study introduces the LiDAR image highlighting algorithm (LIHA), a novel approach for enhancing micro-topographical features in digital elevation models (DEMs) derived from airborne LiDAR data. …”
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Artificial Intelligence Systems for Solving Problems of Agro­Industrial Complex Digitalization and Robotization by A. L. Ronzhin, A. I. Savel'ev

“…The digital transformation of agricultural technological processes is substantiated to be relevant in the context of the exacerbating global problems of food security, the agricultural business stagnation in the regions of the northern Non-Black Earth Region, as well as the ESG transformation of the economy.Research purpose To develop control algorithms for unmanned aerial vehicles (UAVs) based on numerical methods of machine learning to ensure the monitoring of the crops state and the improving of the production process planning and operational management.Materials and methods The following methodology was used: the original methods of machine learning, knowledge engineering and computer modeling for organizational and technological processes of technical objects’ life cycle in industry and products’ life cycle in the national economy,  as well as mathematical and algorithmic models, methods and prototypes of proactive automation tools for information, physical and energy interaction of heterogeneous robotic and cyber-physical complexes.Results and discussion Artificial intelligence systems were created for the photogrammetric processing of visible spectrum images and those taken with multispectral video cameras with the construction of orthophotomaps, digital elevation models. …”
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An Open Data Platform for Traffic Parameters Measurement via Multirotor Unmanned Aerial Vehicles Video by Yuchuan Du, Cong Zhao, Feng Li, Xuefeng Yang

“…Common calibration boards were used to calibrate internal camera parameters and image distortion correction was performed using a high-precision distortion model. …”
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Multi-scale eddy identification and analysis based on deep learning method and ocean color data by Meng Hou, Lixing Fang, Kai Wu, Jie Yang, Ge Chen

“…The algorithm integrates high resolution ocean color data, digital image processing, artificial intelligence, and multi-scale object detection technologies. …”
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Computer Vision-Based Robotic System Framework for the Real-Time Identification and Grasping of Oysters by Hao-Ran Qu, Jue Wang, Lang-Rui Lei, Wen-Hao Su

“…This study addresses the labor-intensive and safety-critical challenges of manual oyster processing by innovating an advanced robotic intelligent sorting system. …”
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Aggregation Operators on Pythagorean Fuzzy Hypersoft Matrices With Application in the Selection of Wastewater Treatment Plants by Muhammad Naveed Jafar, Kainat Muniba Khan, Miin-Shen Yang

“…In fact, PFHSMs are flexible enough to be used in a wide range of fields, including image processing, expert systems, pattern recognition, and medical diagnosis. …”
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Chronic obstructive pulmonary disease and type 2 diabetes mellitus – diseases with cytokine imbalance by L. N. Sorokina, O. V. Lukina, A. S. Pavlova, V. N. Mineev, V. I. Trofimov

“…Computed tomography of the chest was performed on Optima 660 GE and Optima 540 tomographs using an image processing program on the AW SERVER 2.0. IBM SPSS Statistics software was used for statistical processing of the results.Results. …”
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Research on Lightweight Model of Multi-person Pose Estimation Based on Improved YOLOv8s-Pose by FU Yu, GAO Shuhui

“…Therefore, the proposed lightweight improvement algorithm not only reduces the number of model parameters but also enhances the accuracy of human pose estimation algorithms, especially for small target detection, which provides an effective means to achieve real-time and accurate pose estimation.…”
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Face recognition in dense crowd using deep learning approaches with IP camera by Sobhana Mummaneni, Venkata Chaitanya Satya Ramaraju Mudunuri, Sri Veerabhadra Vikas Bommaganti, Bhavya Vani Kalle, Novaline Jacob, Emmanuel Sanjay Raj Katari

“…The Multi-Task Cascaded Convolutional Neural Networks (MTCNN) algorithm is used for face detection. It accurately locates faces in frames and images and generates boundaries around the faces as output. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…Traditional deep learning algorithms have faced significant challenges when processing images with occlusion, uneven lighting, and positional inconsistencies and addressing dataset imbalances. …”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Abstract This study uses machine learning (ML) to elucidate the contact relationship between the mandibular third molar (M3M) and the inferior alveolar canal (IAC), leading to three major contributions; (1) The first publicly accessible PR image dataset with semantic annotations for 1,478 IACs and M3Ms from 1,010 patients is introduced, which includes challenging cases, such as false positive contacts, with CBCT images as the gold standard, (2) Established radiological indicators for M3M-IAC contact were extracted as features using digital image processing, and these features were used as inputs for various ML methods. …”
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Optimized bio-signal reconstruction and watermarking via enhanced fractional orthogonal moments by Gaber Hassan, Khalid M. Hosny, Islam S. Fathi

“…Abstract Orthogonal Tchebichef moments of fractional order (FrTMs) serve as descriptors for signals and images. Many fields, including signal analysis and watermarking, have relied heavily on such moments. …”
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Tri-objective parallel machine with job splitting and sequence dependent setup times using differential evolution and particle swarm optimization by Warisa Wisittipanich, Nuttachat Wisittipanit

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SDFA-Net: Synergistic Dynamic Fusion Architecture With Deformable Attention for UAV Small Target Detection by Yunsong Qi, Hengwei Cao

“…This study proposes an enhanced detection algorithm based on a real-time detection transformer framework (RT-DETR). …”
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Shape characterisation for mounted additive manufacturing powders by Courtney Gallagher, Sagar Nikam, Emmett Kerr, Shaun McFadden

“…The work presented here utilises standard metallurgical laboratory equipment and automated image analysis algorithms to analyse particle shape measurements from digital 2D images of cross-sectioned powders mounted in polymer. …”
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