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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Defect detection method of red globe grapes bunches based on near infrared camera imaging by GAO Sheng

“…Conclusion: The study established a method to detect brown spot and damage decay images to enable grading and selection of red globe grapes.…”
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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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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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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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CHILDREN’S MAP READING ABILITIES IN RELATION TO DISTANCE PERCEPTION, TRAVEL TIME AND LANDSCAPE by Aikaterini APOSTOLOPOULOU, Aikaterini KLONARI

“…We hypothe sized that pupils from city areas would design straight line routes regardless of the physical landscape influenced by the linear and rectangular outlines of city environments in opposition to pupils living in rural areas that would design curved routes according to the landscape. …”
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A Method of Trackside Kilometer Post Identification Combined with YOLOv3 Model by QIU Xinhua, WANG Wenkun, JI Yuwen, LI Jia

“…Transfer learning is adopted to obtain possible rectangular region of kilometer post based on the trained network parameters. …”
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Spatial filter with multiple extracted poles by L.P. Mospan

“…Shown, that the screens, elementary cell of which contains a number of different rectangular apertures, provide the appearance of extracted poles on the frequency response of the filter.…”
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Detection of Shape Manufacturing Defects of Flat Fan-Pattern Nozzle Orifices Using Elliptic Fourier Descriptors by Bahadır Sayıncı

“…The orifice of 01 which is rectangular in shape had an extraordinary attribute compared to the other orifices. …”
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Evaluation of the effect of material selection and core geometry in thin-walled sandwich structures due to compressive strength using a finite element method by Fitra Muhammad Adzin, Pratama Anandito Adam, Prabowo Aditya Rio, Sohn Jung Min, Tuswan Tuswan, Istanto Iwan, Budiana Eko Prasetya, Thang Do Quang, Muttaqie Teguh, Rahimuddin Rahimuddin

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Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

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Designing and analysis of flexible four legged-loaded metamaterial absorber sensor for permittivity detection of a solid substrate by Shihabun Sakib, Mohammad Tariqul Islam, Ahasanul Hoque, Abdulmajeed M. Alenezi, Mohamed S. Soliman, Haitham Alsaif

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Bimodal In Situ Analyzer for Circular RNA in Extracellular Vesicles Combined with Machine Learning for Accurate Gastric Cancer Detection by Yuhang Guo, Shihua Luo, Sinian Liu, Chao Yang, Weifeng Lv, Yuxin Liang, Tingting Ji, Wenbin Li, Chunchen Liu, Xin Li, Lei Zheng, Ye Zhang

“…It has a broad detection range and an extremely low limit of detection. …”
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