Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…In clinical settings, where whole-slide images of histological lymph nodes are involved, it is crucial to identify and detect breast cancer metastases. …”
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A non-invasive diagnostic approach for neuroblastoma utilizing preoperative enhanced computed tomography and deep learning techniques by Yuanyuan Wang, Fangfang Wang, Zixin Qin, Yongcheng Fu, Jingyue Wang, Shangkun Li, Da Zhang

“…However, the high degree of similarity among neuroblastoma subtypes complicates the diagnostic process. In response to these challenges, this study presents a modified version of the You Only Look Once (YOLO) algorithm, called YOLOv8-IE. …”
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Semi-automated annotation for video-based beef cattle behavior recognition by Zhiyong Cao, Chen Li, Xiujuan Yang, Shuai Zhang, Ling Luo, Hao Wang, Hongbo Zhao

“…The dataset includes 500 video clips, 2000 image recognition samples, over 4000 target tracking samples, and over 10G of frame sequence images. 4974 video data of different behavioural types are labelled, totalling about 14 h. …”
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Comparison of Recent Remote Sensing Data Using an Artificial Neural Network to Predict Soil Moisture by Focusing on Radiometric Indices by Miraç Kılıç, Recep Gündoğan

“…The aim of this study, quite recently made available to researchers Operational Land Imager 2 (OLI–2) have structure Landsat 9 and Landsat 8 (OLI) and Sentinel 2A (MSI) to compare the performance of soil moisture estimation in multi-layer perceptron network (MLP) artificial intelligence algorithm of image data. …”
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A Dynamic Kalman Filtering Method for Multi-Object Fruit Tracking and Counting in Complex Orchards by Yaning Zhai, Ling Zhang, Xin Hu, Fanghu Yang, Yang Huang

“…However, existing deep learning-based models are primarily designed to process static and single-frame images, thereby failing to meet the large-scale detection and counting demands in the dynamically changing scenes of modern orchards. …”
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Intelligent Technologies and Robotic Machines for Garden Crops Cultivation by I. G. Smirnov, D. O. Khort, A. I. Kutyrev

“…The existing models of industrial robots cannot perform technological processes of apple harvesting. It is noted that there is a need for developing special actuators, grippers and new control algorithms for harvesting horticulture products. …”
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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Ethical concerns highlighted risks of overreliance, image-processing limitations, and the irreplaceable role of clinical intuition. …”
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An In-depth Investigation of OBIA Classification with High-Resolution Imagery: Unravelling the Explanations Behind Deep Learning and Machine Learning by E. O. Yilmaz, T. Kavzoglu

“…The SHAP analysis indicated that the HSI transform was the most influential factor in the XGBoost algorithm’s decision-making process whereas the average DN values of the green band were the most effective feature for the CNN model. …”
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Visual Inspection of the Aircraft Surface Using a Teleoperated Reconfigurable Climbing Robot and Enhanced Deep Learning Technique by Balakrishnan Ramalingam, Vega-Heredia Manuel, Mohan Rajesh Elara, Ayyalusami Vengadesh, Anirudh Krishna Lakshmanan, Muhammad Ilyas, Tan Jun Yuan James

“…This work proposes an aircraft surface defect and stain detection model using a reconfigurable climbing robot and an enhanced deep learning algorithm. A reconfigurable, teleoperated robot, named as “Kiropter,” is designed to capture the aircraft surface images with an onboard RGB camera. …”
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Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

“…Artificial intelligence-based classification training using images as input takes a long time and requires high resource requirements such as Random Access Memory (RAM) and Graphics Processing Unit (GPU). …”
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Development of a New Intelligent Joystick for People with Reduced Mobility by Makrem Mrabet, Yassine Rabhi, Farhat Fnaiech

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Plastic water bottle detection model using computer vision in aquatic environments by Andrew Heller, Matthew Jacobs, Gilberto Acosta-González, Anna Basola, Jessica Beck, Wesley Garnes, Jarelys A. Hernández Molina, Alanso Johnson, Rebecca Kiriazes, Melissa Lenczewski, Ellen O’Brien, Grace Pooley Deans, Rhea Roxy, Blaise Trapani, Jason H. Davison

“…This was paired with the Norfair object tracking library and a novel post-processing algorithm to filter out false positives. …”
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Enhancing the Accuracy and Speed of Object Detection and Distance Estimation to Improve the Safety of Autonomous Cars Movement by F. Kabiri, M. R. Delavar, L. Hajibabi, B. Nazari

“…<br />To enhance accuracy and speed in obstacle detection, four YOLO algorithm versions were implemented, with YOLOv8-s selected for its superior performance based on mean average precision, recall, and processing speed. …”
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Deepfake detection method based on patch-wise lighting inconsistency by Wenxuan WU, Wenbo ZHOU, Weiming ZHANG, Nenghai YU

“…The rapid development and widespread dissemination of deepfake techniques has caused increased concern.The malicious application of deepfake techniques also poses a potential threat to the society.Therefore, how to detect deepfake content has become a popular research topic.Most of the previous deepfake detection algorithms focused on capturing subtle forgery traces at pixel level and have achieved some results.However, most of the deepfake algorithms ignore the lighting information before and after generation, resulting in some lighting inconsistency between the original face and the forged face, which provided the possibility of using lighting inconsistency to detect deepfake.A corresponding algorithm was designed from two perspectives: introducing lighting inconsistency information and designing a network structure module for a specific task.For the introduction of lighting task, a new network structure was derived by designing the corresponding channel fusion method to provide more lighting inconsistency information to the network feature extraction layer.In order to ensure the portability of the network structure, the process of feature channel fusion was placed before the network extraction information, so that the proposed method can be fully planted to common deepfake detection networks.For the design of the network structure, a deepfake detection method was proposed for lighting inconsistency based on patch-similarity from two perspectives: network structure and loss function design.For the network structure, based on the characteristic of inconsistency between the forged image tampering region and the background region, the extracted features were chunked in the network feature layer and the feature layer similarity matrix was obtained by comparing the patch-wise cosine similarity to make the network focus more on the lighting inconsistency.On this basis, based on the feature layer similarity matching scheme, an independent ground truth and loss function was designed for this task in a targeted manner by comparing the input image with the untampered image of this image for patch-wise authenticity.It is demonstrated experimentally that the accuracy of the proposed method is significantly improved for deepfake detection compared with the baseline method.…”
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Real Time Application for Automatic Object and 3D Position Detection and Sorting with Robotic Manipulator by Tichaona Jonathan Makomo, Barış Boru, Kenan Erin

“…The three-dimensional data acquisition, image processing and some different parameters of the camera are investigated. …”
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Hybrid hiding in multimedia files by Farah Mohammed

“…The principle of hybrid information hiding represented by process of information hiding  message (multimedia files) embedded inside another message which is depended on hiding a certain media in another media using different domains (special domain, frequency domain) to provide protection and security for transformed data,  this paper  suggest an algorithm by using two different files first one compressed binary image, the compression method is run-length and hided this file inside the hostage media by use frequency domain which is represented by Discrete cosine transform (DCT), the second is text ciphered by Caesar method which is depended one secret key by using spatial domain. …”
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A 30-meter resolution global land productivity dynamics dataset from 2013 to 2022 by Xiaosong Li, Tong Shen, Cesar Luis Garcia, Ingrid Teich, Yang Chen, Jin Chen, Amos Tiereyangn Kabo-Bah, Ziyu Yang, Xiaoxia Jia, Qi Lu, Mandakh Nyamtseren

“…Generating higher spatial resolution product faces significant challenges, including massive data processing, image cloud pollution, incompatible spatiotemporal resolution. …”
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An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

“…Despite the advantages of NSCT in image processing, its applications to GPR data fusion for concealed damage identification of transport infrastructures are rarely reported. …”
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A Spatio-Temporal Attention Network With Multiframe Information for Infrared Small Target Detection by Donghui Liu, Wenlong Zhang, Zicheng Feng, Xiaoliang Sun, Rui Zhang, Yang Shang

“…Concurrently, the coordinate attention block is integrated into the model to direct the algorithm to emphasize the local detail features of the target, thereby enhancing the processing capability of the temporal information. …”
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Fast Monocular Measurement via Deep Learning-Based Object Detection for Real-Time Gas-Insulated Transmission Line Deformation Monitoring by Guiyun Yang, Wengang Yang, Entuo Li, Qinglong Wang, Huilong Han, Jie Sun, Meng Wang

“…Subsequent subpixel refinement further enhances measurement accuracy. To correct image tilt, ArUco markers are employed for geometric correction and to compute a scaling factor based on their known edge lengths, thereby reducing errors caused by non-perpendicular camera angles. …”
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