Suchergebnisse - ROI-prediction algorithm

Object Detection-Tracking Algorithm for Unmanned Surface Vehicles Based on a Radar-Photoelectric System

Autoren: Qingze Yu Bo Wang Yumin Su

Quelle: IEEE Access, Vol 9, Pp 57529-57541 (2021)

Schlagwörter: 03 medical and health sciences, radar-photoelectric system, 0302 clinical medicine, Unmanned surface vehicle, 0202 electrical engineering, electronic engineering, information engineering, object tracking algorithm, object detection algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, ROI-prediction algorithm, first-frame object extraction algorithm, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09402914.pdf
https://doaj.org/article/caa2f5ccd45b4b8bb77dec5f336a107b
https://ieeexplore.ieee.org/document/9402914
https://doi.org/10.1109/ACCESS.2021.3072897
https://dblp.uni-trier.de/db/journals/access/access9.html#YuWS21

Optimizing Generalized Linear Models for Real Estate Investment Risk: A Hybrid Genetic Algorithm and IRLS Approach

Autoren: Hamza Abubakar Masnita Misiran Kamarun Hizam Mansor et al.

Quelle: Science and Technology Indonesia. 10:88-100

Overlapping Box Suppression and Merging Algorithms for Window-Based Object Detection.

Autoren: Kos, Aleksandra

Quelle: Foundations of Computing & Decision Sciences; Sep2025, Vol. 50 Issue 3, p403-423, 21p

Schlagwörter: OBJECT recognition (Computer vision)

Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation

Autoren: Iqbal, Odrika Muro, Victor Isaac Torres Katoch, Sameeksha et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Hardware Architecture, text

URL: http://arxiv.org/abs/2112.09775

LGN-YOLO: A Leaf-Oriented Region-of-Interest Generation Method for Cotton Top Buds in Fields.

Autoren: Xie, Yufei Chen, Liping

Quelle: Agriculture; Basel; Jun2025, Vol. 15 Issue 12, p1254, 22p

Schlagwörter: DETECTION algorithms, LEAF morphology, BUDS, SPEED, DENSITY

Adaptive Subsampling for ROI-Based Visual Tracking: Algorithms and FPGA Implementation

Autoren: Odrika Iqbal Victor Isaac Torres Muro Sameeksha Katoch et al.

Quelle: IEEE Access, Vol 10, Pp 90507-90522 (2022)

Schlagwörter: FOS: Computer and information sciences, single object tracking, Computer Vision and Pattern Recognition (cs.CV), FPGA acceleration, Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, 7. Clean energy, embedded computer vision, TK1-9971, hardware/software co-design, Adaptive subsampling, Hardware Architecture (cs.AR), 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, vision applications, Computer Science - Hardware Architecture

Zugangs-URL: http://arxiv.org/abs/2112.09775
https://doaj.org/article/d53a4d9dbbb84b9bb2f0a99dde087b6d

Robust 3D Target Detection Based on LiDAR and Camera Fusion.

Autoren: Jin, Miao Lu, Bing Liu, Gang et al.

Quelle: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4186, 21p

Schlagwörter: LIDAR, AUTONOMOUS vehicles, ROBUST statistics, OBJECT recognition (Computer vision), APPLIED sciences, MULTISENSOR data fusion

Attention-Enhanced Lightweight Architecture with Hybrid Loss for Colposcopic Image Segmentation.

Autoren: Chatterjee, Priyadarshini Siddiqui, Shadab Kareem, Razia Sulthana Abdul et al.

Quelle: Cancers; Mar2025, Vol. 17 Issue 5, p781, 33p

Schlagwörter: STATISTICAL models, CANCER treatment, CERVIX uteri tumors, RESEARCH evaluation, DESCRIPTIVE statistics, COLPOSCOPY, ATTENTION, COMPUTER-aided diagnosis, DEEP learning, DIGITAL image processing, ALGORITHMS, SENSITIVITY & specificity (Statistics), SPECIALTY hospitals

An Intelligent Moving Object Segmentation Using Hybrid IFCM-CSS Clustering Model.

Autoren: Veera Raghavulu, Vivaram Prasad, Ande

Quelle: International Journal of Pattern Recognition & Artificial Intelligence; Jun2024, Vol. 38 Issue 8, p1-25, 25p

Schlagwörter: OPTIMIZATION algorithms, KALMAN filtering

Hybrid muddy electric fish and grasshopper optimization algorithm (MEF-GOA) based CNN for detection and severity differentiation of glaucoma in retinal fundus image.

Autoren: Sophia, Sundar Singh Sheeba Jeya Diwakaran, S.

Quelle: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 44 Issue 2, p2285-2303, 19p

Schlagwörter: ELECTRIC fishes, MATHEMATICAL optimization, RETINAL imaging, GLAUCOMA, GRASSHOPPERS

Beveled-tip needle-steering using 3D ultrasound, mechanical-based Kalman filter and curvilinear ROI prediction

Autoren: Paul Mignon Philippe Poignet Jocelyne Troccaz

Quelle: 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV). :1-6

Schlagwörter: 0209 industrial biotechnology, 13. Climate action, 0206 medical engineering, 02 engineering and technology

Zugangs-URL: http://hal.univ-grenoble-alpes.fr/hal-01455325/file/ICARCV2016.pdf
https://hal-lirmm.ccsd.cnrs.fr/hal-01455325v1
https://dblp.uni-trier.de/db/conf/icarcv/icarcv2016.html#MignonPT16

A low-cost vision-based weld-line detection and measurement technique for robotic welding.

Autoren: Reddy, Janvita Dutta, Ananta Mukherjee, Avishek et al.

Quelle: International Journal of Computer Integrated Manufacturing; Dec2024, Vol. 37 Issue 12, p1538-1558, 21p

Schlagwörter: ROBOTIC welding, ARTIFICIAL intelligence, OBJECT recognition (Computer vision), HOUGH transforms, MATHEMATICAL logic

Predicting Campaign ROI Using Decision Trees and Random Forests in Digital Marketing

Autoren: Hayadi, B Herawan El Emary, Ibrahiem M. M.

Quelle: Journal of Digital Market and Digital Currency; Vol. 1 No. 1 (2024): Regular Issue June 2024; 1-20 ; 3048-0981 ; 10.47738/jdmdc.v1i1

Schlagwörter: Comparative Analysis, Random Forest, Decision Trees, ROI Prediction, Digital Marketing

Dateibeschreibung: application/pdf

Relation: https://jdmdc.com/index.php/JDMDC/article/view/5/1; https://jdmdc.com/index.php/JDMDC/article/view/5

Verfügbarkeit: https://jdmdc.com/index.php/JDMDC/article/view/5
https://doi.org/10.47738/jdmdc.v1i1.5

Automatic detection and proximity quantification of inferior alveolar nerve and mandibular third molar on cone-beam computed tomography.

Autoren: Huang, Chao Wang, Yigan Wang, Yifan et al.

Quelle: Clinical Oral Investigations; Dec2024, Vol. 28 Issue 12, p1-14, 14p

自适应SVD–UKF算法及在穿刺状态估计中的应用. (Chinese)

Alternate Title: Adaptive SVD–UKF algorithm and application to puncture state estimation. (English)

Autoren: 楼狄凯 张 丹 梁华庚

Quelle: Control Theory & Applications / Kongzhi Lilun Yu Yinyong; Dec2022, Vol. 39 Issue 12, p2322-2330, 9p

Schlagwörter: SINGULAR value decomposition, KALMAN filtering, STATISTICAL measurement, ULTRASONIC imaging, IMAGING systems, COVARIANCE matrices

Crop Root Rows Detection Based on Crop Canopy Image.

Autoren: Liu, Yujie Guo, Yanchao Wang, Xiaole et al.

Quelle: Agriculture; Basel; Jul2024, Vol. 14 Issue 7, p969, 22p

Schlagwörter: CROP canopies, ROOT crops, AGRICULTURAL equipment, TILLAGE, CROPS

Video object segmentation based on temporal frame context information fusion and feature enhancement.

Autoren: Hou, Zhiqiang Li, Fucheng Wang, Shuiyuan et al.

Quelle: Applied Intelligence; Mar2023, Vol. 53 Issue 6, p6496-6510, 15p

Schlagwörter: IMAGE segmentation, VIDEOS, PROBLEM solving

Visualization of thermal washout due to spatiotemporally heterogenous perfusion in the application of a model-based control algorithm for MR-HIFU mediated hyperthermia.

Autoren: Sebeke, Lukas Christian Rademann, Pia Maul, Alexandra Claudia et al.

Quelle: International Journal of Hyperthermia; 2021, Vol. 38 Issue 1, p1174-1187, 14p

A public benchmark for human performance in the detection of focal cortical dysplasia.

Autoren: Walger, Lennart Schmitz, Matthias H. Bauer, Tobias et al.

Quelle: Epilepsia Open; Jun2025, Vol. 10 Issue 3, p778-786, 9p

Schlagwörter: FOCAL cortical dysplasia, MAGNETIC resonance imaging, PARTIAL epilepsy, ARTIFICIAL intelligence, NEUROSURGEONS

Real-Time Gaze Tracking with Event-Driven Eye Segmentation

Autoren: Feng, Yu Goulding-Hotta, Nathan Khan, Asif et al.

Index Begriffe: Computer Science - Human-Computer Interaction, text

URL: http://arxiv.org/abs/2201.07367