检索结果-内蒙古大学图书馆

Hybrid attention residual deep convolution learning network for bio medical image analysis

Journal of Intelligent and Fuzzy Systems 2025年第4期48卷 537-554页

作者： Sundar Raj, A. Naidu, Paruchuri Chandra Babu Sivakumar, S. Senthilkumar, S. Department of Biomedical Engineering E.G.S. Pillay Engineering College Tamilnadu Nagapattinam India Department of Electrical and Electronics Engineering BSA Crescent Institute of Science and Technology Vandalur Tamilnadu Chennai India Department of Computer Science and Engineering Nehru Institute of Engineering and Technology Tamilnadu Coimbatore India Department of Electronics and Communication Engineering E.G.S. Pillay Engineering College Tamilnadu Nagapattinam India

Biomedical image analysis has progressed significantly with the integration of artificial intelligence, presenting new opportunities for early diagnosis and treatment of diseases with high mortality rates, such as skin cancer. This research work introduces a novel Hybrid Attention Residual Deep Convolution Learning (HARDCL) Model designed to enhance the accuracy of skin lesion classification, which is often challenging due to the subtle characteristics of lesions. The HARDCL Network employs an innovative hybrid attention mechanism within a residual learning framework, effectively distinguishing between benign and melanoma skin lesions with a high degree of precision. The encoder-decoder network segments the lesion from dermoscopic images, followed by feature extraction and classification, achieving a maximum accuracy of 97.11%, precision of 98.10%, recall of 98.81%, and an F1-score of 98.45%. This performance surpasses conventional deep learning algorithms such as AlexNet, InceptionV3, and ResNet18, demonstrating the effectiveness of the attention-based features in identifying critical lesion characteristics. However, despite its strengths, the HARDCL Network’s computational intensity and the need for a substantial dataset for optimal training highlight areas for further refinement. The proposed network advances the field of skin cancer diagnostics, offering a robust tool for medical professionals and setting a foundation for future enhancements in automated biomedical image analysis techniques. © 2025 – IOS Press. All rights reserved.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Prediction of Kitty Moods using their Phonics in Convolutional Neural Networks(CNNs) 15

Prediction of Kitty Moods using their Phonics in Convolution...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Ravisankar, B. Shyam, D. Ali, Zuhaib Akthar N. Muthusamy, A. Sagar, Kripa S. Krishnan, Vignesh G. Department of Electrical and Electronics Engineering Kongu Engineering College Erode India Department of Electrical and Electronics Engineering Rajalakshmi Engineering College Thandalam Chennai India Department of Computer Technology Kongu Engineering College Erode India

ISBN: (纸本)9798350370249

Even though FeliusCatus(Cat) is one of the domestic pet animals, the cat human relationship has not gained significance compared to dog-human relationship. The cat involves relationship with human and with same species. The vocalization of cat expressed in isolation is considered as most negative and the vocalization expressed in brushing are considering as most positive. The studies shows that the perception of emotions of cat are very limited in *** aim of this work is to analyze the extent of human recognizing vocalization of cat namely meow sound which is generated in various context such as isolation, brushing and waiting for food. In this work, cat sounds are converted into MFCC graphs and these graphs are trained to a Convolutional Neural Network to predict the cat emotions. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A 103 fJ/b/dB, 10-26 Gb/s Receiver With a Dual Feedback Nested Loop CDR for Wide Bandwidth Jitter Tolerance Enhancement

引用

IEEE Journal of Solid-State Circuits 2023年第10期58卷 2801-2811页

作者： Liu, Yao-Chia Chen, Wei-Zen Lee, Yuan-Sheng Chen, Yu-Hsiang Ming, Shawn Lin, Ying-Hsi National Yang Ming Chiao Tung University College of Electrical and Computer Engineering Department of Electronics and Electrical Engineering The Institute of Electronics Hsinchu30010 Taiwan Realtek Hsinchu30076 Taiwan

A 10-26 Gb/s energy-efficient receiver incorporating a dual-feedback nested loop clock and data recovery circuit (DF-CDR) is proposed. Combining a direct modulation path on voltage-controlled oscillator (VCO) and phase interpolator (PI)-based phase rotator inside a phase locked loop (PLL), it improves high-frequency jitter tolerance by 0.15 UI. An edge-first equalization scheme is proposed to reduce power and hardware overhead of decision feedback equalizers. Meanwhile, it facilitates adaptive equalization of continuous time linear equalizer, and background offset calibration of the receiver frontend. A three-stage latch comparator is adopted to enable high-speed direct feedback equalizer. By applying PRBS-31 test pattern through a 32 dB loss channel, the receiver is error-free and features the best energy efficiency of 103 fJ/b/dB at 26 Gb/s. © 1966-2012 IEEE.

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

Ensemble and Personalized Transformer Models for Subject Identification and Relapse Detection in E-Prevention Challenge 48

Ensemble and Personalized Transformer Models for Subject Ide...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Calcagno, Salvatore Mineo, Raffaele Giordano, Daniela Spampinato, Concetto Department of Electrical Electronics and Computer Engineering Italy

ISBN: (纸本)9781728163277

In this short paper, we present the devised solutions for the subject identification and relapse detection tasks, which are part of the e-Prevention Challenge hosted at the ICASSP 2023 conference [1] [2] [3]. We specifically design an ensemble scheme of six models - five transformer-based ones and a CNN model - for the identification of subjects from wearable devices, while a personalized - one for each subject - scheme is used for relapse detection in psychotic disorder. Our final submitted solutions yield top performance on both tracks of the challenge: we ranked 2nd on the subject identification task (with an accuracy of 93.85%) and 1st on the relapse detection task (with a ROC-AUC and PR-AUC of about 0.65). Code and details are available at https://***/perceivelab/e-prevention-icassp-2023. © 2023 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Boost DC-DC converter with regenerative snubber

引用

Energy Reports 2024年 12卷 798-819页

作者： Yau, Yeu-Torng Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

To accommodate the wide range of input voltages supplied by redundant batteries and ensure an adequate hold-up time for communication systems during utility power failures, power supplies used in 5 G base stations typically include a front-end boost converter as the first stage and a second-stage isolated converter. In this paper, a new topology for a regenerative snubber in boost converters is proposed. Compared to traditional active or passive snubber topologies, the proposed snubber offers the advantages of having fewer components and occupying less space. Moreover, it does not require additional active devices and can be driven by widely-used commercial PWM control integrated circuits, achieving a higher level of cost-effectiveness and offering increased industrial applications. The final prototype of a power supply for a networking switch hub (as used in 5 G base stations) is fabricated to demonstrate the feasibility of the proposed method. © 2024 The Authors

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

Adaptive Coordination of Time Overcurrent Relays (OCR) in a Radial Distribution Network with Distributed Generation using a Modified LINKNET Pairing Algorithm 10

Adaptive Coordination of Time Overcurrent Relays (OCR) in a ...

引用

10th International Conference on Automation, Robotics, and Applications, ICARA 2024

作者： Alejandre, Jussel D. Pacis, Michael C. Mapua University Department of Electrical Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9798350394245

With the increasing demand of the grid as of today, power system structures continuously complexing that's why protection and coordination is a seemingly tedious task for relay engineers. This research aims to design an adaptive coordination that when a change in network topology occur, relay engineers can learn the primary and backup relay pairings of the power system and the relay settings fit for these pairing. The proposed design modified the LINKNET algorithm to adapt in a change in network topology that is originally designed for a fixed topology. The program is coded using Python programming language which is best for adapting Artificial Neural Network on the system, especially for the relay setting optimization. Simulated over 32 test cases of n - 1 contingency, the program was able to provide the primary and backup relay pairings and the optimal relay settings. The tests backed-up by statistical analysis using Mann - Whitney U test provided results of the time of operation for some cases are lower than 0.05 and some cases are larger than 0.05 with the reference case without the n - 1 contingency or no change in network topology. The program created was able to provide the desired relay pairings with optimal settings fir for coordination. This program helps relay engineers to ease their tasks as complex power systems increasingly prevalent. The program provided results that are validated in ETAP illustrating Time - Current Characteristic Curve that shows that when primary protection fails to trip, backup relays were the next to execute. © 2024 IEEE.

关键词： Network topology

来源：评论

学校读者我要写书评

暂无评论

Joint trust-based detection and signature-based authentication technique for secure localization in underwater wireless sensor network

引用

Multimedia Tools and Applications 2025年 1-20页

作者： Kumar, Manni Goyal, Nitin Qaisi, Ramy Mohammed Aiesh Najim, Mohd Gupta, Sachin Kumar Department of Computer Science & Engineering Chandigarh University Gharuan Punjab India Department of Computer Science Engineering School of Engineering and Technology Central University of Haryana Haryana Mahendergarh123031 India Department of Electrical and Electronic Engineering College of Engineering University of Jeddah Jeddah21589 Saudi Arabia Department of Electronics and Communication Engineering Central University of Jammu UT of J&K Jammu181143 India

Ensuring secure and accurate node localization in Underwater Wireless Sensor Networks (UWSN) is a significant challenge, as conventional methods tend to neglect the security risks associated with malicious node interference. This research addresses this issue by proposing a Joint Trust-based Detection and Signature-based Authentication (JTDSA) technique, aimed at improving both the security and accuracy of node localization in UWSNs. The technique utilizes Intrusion Detection System (IDS) methods to calculate the trust values of secondary-anchor nodes (SNs), ensuring only the most trusted SNs are selected. Furthermore, a digital signature algorithm secures the Received Signal Strength (RSS) data from tampering. The method incorporates a hybrid approach combining Angle of Arrival (AoA) and RSS ranging techniques to achieve robust localization. Simulation results demonstrate that JTDSA improves localization accuracy by 4% compared to existing methods, achieving an overall accuracy of 99.2%. The technique also reduces packet drop by 35% and enhances attack detection accuracy by 3%. These results indicate that the proposed JTDSA technique offers an effective solution for secure and reliable localization in UWSNs. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Investigating the impact of sensor axis combinations on activity recognition and fall detection: an empirical study

引用

Multimedia Tools and Applications 2024年 1-40页

作者： Kavuncuoğlu, Erhan Özdemir, Ahmet Turan Uzunhisarcıklı, Esma Department of Computer Technology Gemerek Vocational School Cumhuriyet University SivasTR-58840 Turkey Department of Electrical and Electronics Engineering Engineering Faculty Erciyes University KayseriTR-38039 Turkey Department of Electrical and Electronics Engineering Yozgat Bozok University Engineering Faculty YozgatTR-66900 Turkey

Activity recognition is a fundamental concept widely embraced within the realm of healthcare. Leveraging sensor fusion techniques, particularly involving accelerometers (A), gyroscopes (G), and magnetometers (M), this technology has undergone extensive development to effectively distinguish between various activity types, improve tracking systems, and attain high classification accuracy. This research is dedicated to augmenting the effectiveness of activity recognition by investigating diverse sensor axis combinations while underscoring the advantages of this approach. In pursuit of this objective, we gathered data from two distinct sources: 20 instances of falls and 16 daily life activities, recorded through the utilization of the Motion Tracker Wireless (MTw), a commercial product. In this particular experiment, we meticulously assembled a comprehensive dataset comprising 2520 tests, leveraging the voluntary participation of 14 individuals (comprising 7 females and 7 males). Additionally, data pertaining to 7 cases of falls and 8 daily life activities were captured using a cost-effective, environment-independent Activity Tracking Device (ATD). This alternative dataset encompassed a total of 1350 tests, with the participation of 30 volunteers, equally divided between 15 females and 15 males. Within the framework of this research, we conducted meticulous comparative analyses utilizing the complete dataset, which encompassed 3870 tests in total. The findings obtained from these analyses convincingly establish the efficacy of recognizing both fall incidents and routine daily activities. This investigation underscores the potential of leveraging affordable IoT technologies to enhance the quality of everyday life and their practical utility in real-world scenarios. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Wearable sensors

来源：评论

学校读者我要写书评

暂无评论

Review of dehazing techniques: challenges and future trends

引用

Multimedia Tools and Applications 2025年第3期84卷 1103-1131页

作者： Ayoub, Abeer El-Shafai, Walid El-Samie, Fathi E. Abd Hamad, Ehab K. I. EL-Rabaie, El-Sayed M. Department of Electronics and Electrical Communication Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Security Engineering Lab Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh11671 Saudi Arabia Electrical Engineering Department Faculty of Engineering Aswan University Aswan81542 Egypt

The phenomenon of atmospheric haze arises due to the scattering of light by minute particles suspended in the atmosphere. This optical effect gives rise to visual degradation in images and videos. The degradation is primarily influenced by two key factors: atmospheric attenuation and scattered light. Scattered light causes an image to be veiled in a whitish veil, while attenuation diminishes the image inherent contrast. Efforts to enhance image and video quality necessitate the development of dehazing techniques capable of mitigating the adverse impact of haze. This scholarly endeavor presents a comprehensive survey of recent advancements in the domain of dehazing techniques, encompassing both conventional methodologies and those founded on machine learning principles. Traditional dehazing techniques leverage a haze model to deduce a dehazed rendition of an image or frame. In contrast, learning-based techniques employ sophisticated mechanisms such as Convolutional Neural Networks (CNNs) and different deep Generative Adversarial Networks (GANs) to create models that can discern dehazed representations by learning intricate parameters like transmission maps, atmospheric light conditions, or their combined effects. Furthermore, some learning-based approaches facilitate the direct generation of dehazed outputs from hazy inputs by assimilating the non-linear mapping between the two. This review study delves into a comprehensive examination of datasets utilized within learning-based dehazing methodologies, elucidating their characteristics and relevance. Furthermore, a systematic exposition of the merits and demerits inherent in distinct dehazing techniques is presented. The discourse culminates in the synthesis of the primary quandaries and challenges confronted by prevailing dehazing techniques. The assessment of dehazed image and frame quality is facilitated through the application of rigorous evaluation metrics, a discussion of which is incorporated. To provide empiri

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Reliability-aware swarm based multi-objective optimization for controller placement in distributed SDN architecture

引用

Digital Communications and Networks 2024年第5期10卷 1245-1257页

作者： Abeer A.Z.Ibrahim Fazirulhisyam Hashim Aduwati Sali Nor K.Noordin Keivan Navaie Saber M.E.Fadul Department of Computer and Communication Systems Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdang43400Malaysia Wireless and Photonics Networks Research Centre(WiPNET) Faculty of EngineeringUniversiti Putra MalaysiaSerdang43400Malaysia Department of Communication and Computer Engineering College of Engineering and Medical SciencesKhartoum11111Sudan School of Computing and Communications Lancaster UniversityLancasterLA14YWUnited Kingdom Department of Electrical and Electronics Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdang43400Malaysia

The deployment of distributed multi-controllers for Software-Defined Networking(SDN)architecture is an emerging solution to improve network scalability and ***,the network control failure affects the dynamic resource allocation in distributed networks resulting in network disruption and low ***,we consider the control plane fault tolerance for cost-effective and accurate controller location models during control plane *** fault-tolerance strategy has been applied to distributed SDN control architecture,which allows each switch to migrate to next controller to enhance network *** this paper,the Reliable and Dynamic Mapping-based Controller Placement(RDMCP)problem in distributed architecture is framed as an optimization problem to improve the system reliability,quality,and *** considering the bound constraints,a heuristic state-of-the-art Controller Placement Problem(CPP)algorithm is used to address the optimal assignment and reassignment of switches to nearby controllers other than their regular *** algorithm identifies the optimal controller location,minimum number of controllers,and the expected assignment costs after failure at the lowest effective cost.A metaheuristic Particle Swarm Optimization(PSO)algorithm was combined with RDMCP to form a hybrid approach that improves objective function optimization in terms of reliability and *** effectiveness of our hybrid RDMCP-PSO was then evaluated using extensive experiments and compared with other baseline *** findings demonstrate that the proposed hybrid technique significantly increases the network performance regarding the controller number and load balancing of the standalone heuristic CPP algorithm.

关键词： Software defined networking Dynamic mapping Particle swarm optimization Reliability Multi-objective optimization Evolutionary

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：