A non-intrusive, contactless temperature measurement technique that provides real-time surface temperature distribution is infrared thermography. Ocular Surface Temperature (OST) can be measured using thermography wit...
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This analysis introduces a system for automated identification of fish species and classification based on deep learning. This system can provide valuable insights to marine biologists, with better understanding on fi...
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Circularly polarized antennas are widely utilized in today's wireless communication system due to their resistance to multipath distortion and polarization loss. With the increasing demand for satellite communicat...
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In this paper, we proposed a fast recovery strategy for a dual link failure (DLF) in elastic optical network (EON). The EON is a promising solution to meet the next generation higher bandwidth demand. The survivabilit...
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In the conventional method of the banking system, whenever someone visits a bank to access the lockers, there will be a security guard appointed by the bank to ensure that the customer accessing his/her locker is auth...
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Telecommunication and computing technologies have become instrumental in solving various real-world problems. One pressing issue that developing countries still face is the safety of railway level crossings. These cro...
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Intelligent autonomous navigation systems that are AI-enabled may be considered equal to great revolution in space exploration and should be given momentum because these systems are able to operate independently and a...
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This paper incorporates the concept of generalized pre-coded quadrature spatial modulation (GPQSM) into non-orthogonal multiple access (NOMA) systems aided by simultaneously transmitting and reflecting reconfigurable ...
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In Microwave frequency regime, a simple design has been presented for creating model of ultrawideband ultrathin metamaterial absorber. On metal-backed dielectric substrate, a suggested structure is imprinted which con...
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Deep neural network(DNN)based computer-aided breast tumor diagnosis(CABTD)method plays a vital role in the early detection and diagnosis of breast ***,a Brightness mode(B-mode)ultrasound image derives training feature...
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Deep neural network(DNN)based computer-aided breast tumor diagnosis(CABTD)method plays a vital role in the early detection and diagnosis of breast ***,a Brightness mode(B-mode)ultrasound image derives training feature samples that make closer isolation toward the infection ***,it is expensive due to a metaheuristic search of features occupying the global region of interest(ROI)structures of input ***,it may lead to the high computational complexity of the pre-trained DNN-based CABTD *** paper proposes a novel ensemble pretrained DNN-based CABTD method using global-and local-ROI-structures of B-mode ultrasound *** conveys the additional consideration of a local-ROI-structures for further enhan-cing the pretrained DNN-based CABTD method’s breast tumor diagnostic performance without degrading its visual *** features are extracted at various depths(18,50,and 101)from the global and local ROI structures and feed to support vector machine for better *** the experimental results,it has been observed that the combined local and global ROI structure of small depth residual network ResNet18(0.8 in%)has produced significant improve-ment in pixel ratio as compared to ResNet50(0.5 in%)and ResNet101(0.3 in%),***,the pretrained DNN-based CABTD methods have been tested by influencing local and global ROI structures to diagnose two specific breast tumors(Benign and Malignant)and improve the diagnostic accuracy(86%)compared to Dense Net,Alex Net,VGG Net,and Google ***,it reduces the computational complexity due to the small depth residual network ResNet18,respectively.
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