Key frame extraction based abnormal vehicle identification technique using statistical distribution analysis by M. A. Y. Peer Mohamed Appa, V. Vanitha, Priti Rishi, Shrddha Sagar, M. Asha Paul

“…The statistical feature extraction technique is used to extract the key frames in a statistical way by using beta distribution estimation. …”
Get full text

Experimental and Numerical Study of the Jib Connection Frame of a Wheeled Crane by Bowen Guan, Kai Cheng, Erfei Zhao

“…Subsequently, two sets of composite load failure tests were carried out on the connecting frame specimens, and the strain response history of the key nodes was recorded. …”
Get full text

Reliable unmanned aerial vehicle-based thermal infrared target detection method for monitoring Procapra przewalskii in Qinghai by Guoqing Zhang, Wei Luo, Yongxiang Zhao, Quanqin Shao, Lin Li, Keyu Mei, Guohong Li

Get full text

Optimization effect of video data extraction and search based on Faster-RCNN hybrid model on intelligent information systems by Zhang Pei, Chen Zhengyi

“…The model reduced its time for computation by 32.4% and had a massive leap in the accuracy in the search by 41.2%. Key to this performance were the temporal coherence module, which does a good job in capturing dependencies within sequential frames, and the adaptive feature fusion mechanism that dynamically integrates spatial and temporal features. …”
Get full text

EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…ECs, which detect asynchronous pixel-level <i>brightness changes</i>, offer key advantages over traditional frame-based sensors such as high temporal resolution, low power consumption, and resilience to dynamic lighting. …”
Get full text

MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…Then, the set of texture patterns are extracted based on four key parts such as two eyes, nose and mouth by using the Minimal Angular Deviation (MAD) technique. …”
Get full text

Large-Scale Video Retrieval via Deep Local Convolutional Features by Chen Zhang, Bin Hu, Yucong Suo, Zhiqiang Zou, Yimu Ji

“…Our framework consists of the key-frame extraction algorithm and the feature aggregation strategy. …”
Get full text

Design and Fabrication of a Motorized Honey Extractor. by Hasahya, Caxton Joel

“…This report presented the key aspects and findings of a study focused on designing an electric honey-extracting machine that utilizes centrifugal force to extract honey from honeycombs. …”
Get full text

Tilt-Induced Error Compensation with Vision-Based Method for Polarization Navigation by Meng Yuan, Xindong Wu, Chenguang Wang, Xiaochen Liu

Get full text

Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

“…This algorithm effectively addresses three key challenges: high vehicle miss detection rates, inadequate perception of small-angle targets, and insufficient feature extraction capabilities. …”
Get full text

DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer by Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li

Get full text

A Method of Locating and Measuring Train Wheel Tread Defects Based on YOLOv3-tiny by JIN Kairong, WANG Junping, CHEN Shenglan

“…First, image enhancement is performed on the small samples obtained in the industrial scene, and then the YOLOv3-tiny algorithm is used to perform migration learning on tread defects to achieve rough localization of defects. In order to solve the key problems that the detection frame is too large and too small, traditional image algorithms such as Fourier transform, band-stop filter, and threshold segmentation are used to construct a defect size measurement model, contours of roughly located defects are extracted and detection frame size is optimized, and finally location and size of defect are accurately calculated. …”
Get full text

A 1D Cascaded Denoising and Classification Framework for Micro-Doppler-Based Radar Target Recognition by Beili Ma, Baixiao Chen

Get full text

Design of a Solar powered Groundnut Oil Expelling. by Mugumya Syrus

“…Groundnut is an important food crop that serves numerous food purposes. Extracting oil from the seed, is key to its vast applications. …”
Get full text

A cost-effective image-based model without constraint for weight estimation of poultries using deep learning by Zhi Qiao, Jianhui Liu, Fangxi Yang, Jinping Hao, Zhuocheng Hou, Hui Li, Feng Zhu

Get full text

Model updating method for detect and localize structural damage using generalized flexibility matrix and improved grey wolf optimizer algorithm (I-GWO) by Sina Sadraei, Majid Gholhaki, Omid Rezaifar

“…Abstract Various civil engineering-based infrastructures have been strategically planned to implement the structural health monitoring (SHM) system, considering their significance. A key objective faced by this system is the automatic identification and damage detection at the appropriate moment. …”
Get full text

Identification, characterization and full-length sequence analysis of a novel endornavirus in common sunflower (Helianthus annuus L.) by Wen-wen LIU, Min XIN, Meng-ji CAO, Meng QIN, Hui LIU, Shou-qi ZHAO, Xi-feng WANG

Get full text

The PhoR/PhoP two-component system regulates fengycin production in Bacillus subtilis NCD-2 under low-phosphate conditions by Qing-gang GUO, Li-hong DONG, Pei-pei WANG, She-zeng LI, Wei-song ZHAO, Xiu-yun LU, Xiao-yun ZHANG, Ping MA

Get full text

Dynamic Positioning and Optimization of Magnetic Target Based on Binocular Vision by Jing Li, Yang Wang, Ligang Qu, Guangming Lv, Zhenyu Cao

Get full text

Multi-Task Perception Algorithm for Rail Transit Scenarios Based on Triplet Attention by GAO Rui, XIONG Yanping, WEI Chenfeng, XIE Guotao, GAO Ming

“…Finally, a triplet attention mechanism was incorporated to address the original YOLOP algorithm's deficiency of losing key information during feature extraction. By weighting attention in three directions of the feature map, the original model's capacities to extract key information were improved, thereby enhancing its performance in small object detection tasks. …”
Get full text