Smart gloves-based triboelectric nanogenerator for sign language detection by Hyeonggeun Kim, Ingyu Lee, Swati Panda, Sugato Hajra, ByeongJun Jeong, Jeonggyu Seo, Kushal Ruthvik Kaja, Mohamed A. Belal, Venkateswaran Vivekananthan, Hoe Joon Kim

“…In this work, a triboelectric nanogenerator (TENG) based on smart gloves was designed for a self-powered sign language detection system. The TENG was fabricated using flexible materials like copper, aluminum electrodes, and polyethylene fabric (PE). …”
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Lightweight highland barley detection based on improved YOLOv5 by Minghui Cai, Hui Deng, Jianwei Cai, Weipeng Guo, Zhipeng Hu, Dongzheng Yu, Houxi Zhang

“…Although this study also suffers from limitations such as insufficient generalization under varying lighting conditions and reliance on rectangular annotations, it provides valuable support and reference for the development of real-time highland barley spike detection systems, which can help to improve agricultural management.…”
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Angle detection method for surface mount components based on weighted clustering by Chunfu ZHANG, Zhiqiang SONG

“…In light of this, we focus on the challenges associated with detecting the position and orientation of rectangular components, proposing an innovative solution aimed at enhancing detection accuracy and stability. …”
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Machine vision-based detection of key traits in shiitake mushroom caps by Jiuxiao Zhao, Jiuxiao Zhao, Wengang Zheng, Wengang Zheng, Yibo Wei, Yibo Wei, Qian Zhao, Qian Zhao, Jing Dong, Jing Dong, Xin Zhang, Xin Zhang, Mingfei Wang, Mingfei Wang

“…Secondly, the edge information detected by KL-Dexined was mapped onto the original image of shiitake mushroom caps, and using the OpenCV model,11 phenotypic key features including shiitake mushroom caps area, perimeter, and external rectangular length were obtained. …”
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Adaptive Circular Receptive Field for Remote Sensing Image Target Detection by Ning Wen, Yun Ge, Xiaoyu Yang, Meigen Yu, Ting Wang

“…Compared with the rectangular bounding box, the bounding circle contains less background information and has rotation invariance, achieving in more accurate localization. …”
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Deep Learning Models for Rotated Object Detection in Aerial Images: Survey and Performance Comparisons by Jiaying He, K. L. Eddie Law

“…Rotated object detection in aerial images presents unique challenges due to the variability in object orientation and aspect ratios. …”
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Application of weighted low rank approximations: outlier detection in a data matrix by Marisol García-Peña, Sergio Arciniegas-Alarcón, Kaye E. Basford

“…Abstract Objective A mandatory step in the exploratory analysis of any rectangular database is the identification of possible outliers. …”
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A Cross-Shaped Slotted Patch Sensor Antenna for Ice and Frost Detection by Rula Alrawashdeh

“…Slots also provide a concentrated region of electromagnetic fields, which increases the antenna’s sensitivity for sensing and detection purposes. In this paper, a rectangular patch antenna with a cross slot is designed and proposed for water, ice, and frost detection. …”
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GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…To tackle the challenges posed by varying poses and occlusions of tea buds, Shape-IoU was employed as the loss function to improve the scoring of similarly shaped objects, reducing false positives and false negatives while improving the detection of non-rectangular or irregularly shaped objects. …”
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Design of PRS enabled monopole slotted-antenna sensor for breast tumor detection by Tiruganesh Lanka, Divya Chaturvedi, M. V. L. Bhavani, Arvind Kumar

“…Abstract This article introduces a near-field microwave sensor based on a monopole antenna for breast tumor detection. The designed antenna operates at 2 GHz and is miniaturized by 37% through the etching of two pairs of rectangular slots along its edges, achieving a compact footprint of 0.28λg × 0.42λg (where λg is the guided wavelength at 2 GHz). …”
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Detection of strawberry bloom phenology based on YOLO-RCMC and flower opening scale by Junquan Zhen, Yuke Wang, Xunhui Liu, Linfan Zhou, Shuqin Yang, Dong Wang

“…To address the challenges of insufficient detection accuracy and poor real-time performance of existing methods, this study proposed a deep learning approach for estimating flower phenology using a model called flower-opening-YOLO-RCMC, which stands for You Only Look Once – Rectangular Self-Calibration Module (RCM) and RCM Variant Module (C2f-RCM and C3k2-RCM). …”
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Wearable Textile Patch DSSRS Antenna for Body Tumors Detection with Reduced SAR by M.M. Hasan Mahfuz, Md Rafiqul Islam, Norun Farihah Abdul Malek, Mohamed Hadi Habaebi, Nazmus Sakib, Elham Baladi

“… The purpose of this study is to present a lightweight wearable (jeans) monopole antenna configuration for body area network (BAN) communication, breast and head tumors detections with back lobe reduction (i.e., low SAR), and it does so without introducing any special methodologies like as, AMC, EBG, HIS. …”
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A Cylindrical Dielectric Resonator Antenna-Coupled Sensor Configuration for 94 GHz Detection by M. Kamran Saleem, M. Abdel-Rahman, Majeed Alkanhal, Abdelrazik Sebak

“…A novel antenna-coupled sensor configuration for millimeter wave detection is presented. The antenna is based on two cylindrical dielectric resonators (CDRs) excited by rectangular slots placed below the CDRs. …”
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Antipodal Vivaldi Antenna to Detect UHF Signals That Leaked Out of the Joint of a Transformer by Jian Zhang, Xiaoxing Zhang, Song Xiao

“…Experimental data show that this antenna is much more sensitive than the rectangular plane spiral antenna. The proposed antipodal Vivaldi antenna is suitable for detecting partial discharge in large transformers.…”
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Development and Optimization of Micro‐Nanotopographical Platforms for Surface Enhanced Raman Scattering Biomolecular Detection by David Femi Odetade, Jonathan J. S. Rickard, Pola Goldberg Oppenheimer

“…Herein, a method for designing, optimising and fabricating fine‐tuneable concentric hexagonal, triangular and rectangular SERS‐active micronano‐substrates is developed, with each unit yielding significant enhancement. …”
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Quantitative study on weak magnetic detection defects of metal structure based on IWOA-BP algorithm by FAN Meng, TONG Bo, GAO Chen, YAO Zhongyuan, ZHANG Yu, HU Bo

“…Metal structures in service are prone to crack defects under tensile and compressive fatigue load.In order to realize quantitative detection of metal structures’ crack defects, a quantitative analysis method of metal structures’ weak magnetic detection based on back propagation (BP) neural network was studied. …”
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Defect detection method of red globe grapes bunches based on near infrared camera imaging by GAO Sheng

“…Objective: The study aimed to explore a fast and accurate method to detect brown spot and damage decay in grape bunches. …”
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RGB imaging-based detection of rice leaf blast spot and resistance evaluation at the canopy scale by XIE Pengyao, FU Haowei, TANG Zheng, MA Zhihong, CEN Haiyan

“…A Mask-RCNN model for the recognition of rice leaf blast spots was developed to perform the rectangular frame detection, mask segmentation and classification. …”
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Multi-Object Recognition and Motion Detection Based on Flexible Pressure Sensor Array and Deep Learning by Hao Zhang, Yanan Tao, Kai Shi, Jiali Li, Jianjun Shi, Shaofeng Xu, Ying Guo

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Research on the Defect Detection Method of Steel-Reinforced Concrete Based on Piezoelectric Technology and Weight Analysis by Yilong Yu, Yulin Dong, Yulong Jiang, Fan Wang, Qianfan Zhou, Panfeng Ba

“…The feasibility was verified through the single-condition detection test, revealing the propagation and attenuation characteristics of the stress wave signal under various detection conditions, and it was applied to the damage identification of steel-reinforced concrete rectangular section columns. …”
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