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检索条件"任意字段=IEEE International Conference on Research in Computational Intelligence and Communication Networks"

共 13498 条记录，以下是1-10 订阅

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Proceedings - 2018 4th ieee international conference on research in computational intelligence and communication networks, ICRCICN 2018

Proceedings - 2018 4th IEEE International Conference on Rese...

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4th ieee international conference on research in computational intelligence and communication networks, ICRCICN 2018

ISBN: (纸本)9781538676387

The proceedings contain 53 papers. The topics discussed include: novel feature extraction algorithm using dwt and temporal statistical techniques for word dependent speakers recognition;overlapping community detection using clique proximity and modularity maximization;voltammetric technique for eugenol analysis using polyoctyltriethoxysilane molecular imprinted polymer electrode;role of big data analysis in healthcare sector: a survey;defect tolerant approaches for function mapping in nano-crossbar circuits;epileptic seizure detection employing cross-hyperbolic stockwell transform;a savings algorithm approach to the truck routing and loading problem;and performance evaluation of audio watermarking in EMD framework.

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Proceedings of 2015 ieee international conference on research in computational intelligence and communication networks, ICRCICN 2015

Proceedings of 2015 IEEE International Conference on Researc...

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ieee international conference on research in computational intelligence and communication networks, ICRCICN 2015

ISBN: (纸本)9781467367356

The proceedings contain 86 papers. The topics discussed include: segmentation based background removal technique for enhanced iris recognition;an efficient face recognition method using Contourlet transform;analysis of proximity fed circularly polarized triangular notch cut square patch antennas;pedestrian detection using single box convergence with iterative DCT based Haar cascade detector and skin color segmentation;sequentially combined mean-median filter for high density salt and pepper noise removal;analysis of sectoral shaped ultra-wideband microstrip antennas;on the segmentation of pedestrians in infrared images;compact edge shorted microstrip reflectarray antennas;on global transform preservation by region based interest points for image registration;enabling IOT services using WiFi-Zigbee gateway for a home automation system;and optical wave guide analysis using higher order compact FDM in combination with Newton Krylov subspace methods.

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Proceedings - 2016 2nd ieee international conference on research in computational intelligence and communication networks, ICRCICN 2016

Proceedings - 2016 2nd IEEE International Conference on Rese...

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2nd ieee international conference on research in computational intelligence and communication networks, ICRCICN 2016

ISBN: (纸本)9781509010479

The proceedings contain 56 papers. The topics discussed include: quadrature carrier multiplexing based digital video compression;SLHAR: a supervised learning approach for homophone ambiguity reduction from speech recognition system;improving energy efficiency of computing servers and communication fabric in cloud data centers;classification of wearable computing: a survey of electronic assistive technology and future design;enhanced TCP WestwoodNR congestion avoidance mechanism (WestwoodNRBWP) in VANET;bypassing using directional transceivers: a design for anti-tracking source location privacy protection in WSNs;cloud smoke sensing model for AODV,RIP and STAR routing protocols using wireless sensor network in industrial township area;emerging techniques for printed reconfigurable antenna: a review;DWT based sonoelastography prostate cancer image classification using back propagation neural network;multilevel color image segmentation using modified genetic algorithm (MfGA) inspired fuzzy C-means clustering;a simple and efficient solar energy harvesting for wireless sensor node;compressed sensing for optimising connectivity in FANET architecture;positioning WiFi access points using particle swarm optimization;and optimizing MANET routing in AODV : an hybridization approach of ACO and Firefly algorithm.

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Proceedings - 2017 3rd ieee international conference on research in computational intelligence and communication networks, ICRCICN 2017

Proceedings - 2017 3rd IEEE International Conference on Rese...

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3rd ieee international conference on research in computational intelligence and communication networks, ICRCICN 2017

ISBN: (纸本)9781538619315

The proceedings contain 66 papers. The topics discussed include: morphological feature based maturity level identification of Kalmegh and Tulsi leaves;a machine vision based approach towards identification of adulterant in turmeric powder;adaptive global best steered cuckoo search algorithm for FIR filter design;emotion recognition and reaction prediction in videos;analysis of de-noising techniques of non-stationary ECG signal based on wavelet and PSO;face recognition using ensemble support vector machine;gait signal classification tool utilizing Hilbert transform based feature extraction and logistic regression based classification;optimal placement of charging stations using CSO-TLBO algorithm;performance analysis of FIR and IIR filters for ECG signal denoising based on SNR;reduction of harmonics at output of three-phase VSI using PSO based PWM technique;a new enhanced secure anonymous communication with authentication and session key agreement in global mobility network;time-sensitive data collection with path-constrained mobile sink in WSN;a novel approach to secure biomedical images and videos for transmission;novel design and performance analysis of a mars exploration robot: Mars rover Mongol Pothik;change detection of exposed sandbars around Kaziranga National park;compound characters using DCNN with dropout and ELU;TSLA: Turing based service level agreement assessment model over diverse cloud deployments;automatic Hadoop cluster deployment and management tool;and design and analysis of a novel mathematical model towards realizing the need for intelligent transportation system in Indian cities.

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Advancements in Image Synthesis with Progressive Generative Adversarial networks 2

Advancements in Image Synthesis with Progressive Generative ...

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2nd international conference on computational intelligence, communication Technology and Networking, CICTN 2025

作者： Singh, Ajay Pal Basu, Nirmalya Rahi, Parvez Goyal, Bhawana Bharti Yadav, Vikas Dept. of Computer Sc. and Engineering UIE Chandigarh University Punjab Mohali India Government Polytechnic Bighapur Unnao Department of Technical Education Uttar Praddesh India

ISBN: (纸本)9798331530389

An overview of the use of Generative Adversarial networks (GANs) in computer vision-image synthesis and manipulation-is given in this study. A generator and a discriminator are two complex neural networks that are trained in competition to form GANs. Owing to the formidable capabilities of deep neural networks and their adversarial training approach, GANs exhibit the ability to generate realistic and plausible images, thereby demonstrating remarkable prowess across various applications in the realm of image synthesis and manipulation. This survey paper delves into recent GAN-related research. Working on the progressive GANs model technique, the authors find out how capable it is compared to other GANs algorithms. Building an image synthesis Progressive Generative Adversarial networks (ProGANs) is a complex process with several steps that work together to produce high-quality pictures. © 2025 ieee.

关键词： Generative adversarial networks

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Evolution and Future Trends in Wireless communication: From 2G to 6G Technologies 2

Evolution and Future Trends in Wireless Communication: From ...

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2nd international conference on computational intelligence, communication Technology and Networking, CICTN 2025

作者： Goel, Deepanshu Jaiwal, Deepanshu Dhruv Chopra, Taruna School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad India

ISBN: (纸本)9798331530389

The journey from 2G to emerging 6G is impressive, mirroring the long evolutionary path of wireless communication technology. We address critical transitions in cellular networks in light of architectural transformation, performance metrics, and the enablers of new technologies. Key trends identified: from Kbps data rate growth exponentially in 2G to Tbps in 6G;a fall of latency from the 500-ms level to sub-millisecond latency;and more importantly, from human-centric communication to machine-centric communication. It will bring some breakthrough technologies, like terahertz communications, intelligent reflecting surfaces, and quantum computing integration, revolutionizing the network configuration and capability. 6G networks will highlight many unprecedented applications such as holographic communications and extended reality;however, that is not possible without addressing various challenges related to spectrum efficiency, energy optimization, and security challenges. This report synthesized technical literature, standardization documents, and industry insights to propose a roadmap of future wireless networks with innovative and AI-integrated spectrum utilization concepts and sustainable designs. The results are critical to researchers, policymakers, and industry stakeholders in the shaping of the next generation of wireless communication systems. © 2025 ieee.

关键词： Quantum computers

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Addressing research Gaps in Object Detection: A Model for Infrared-Based Low-Light Conditions 2

Addressing Research Gaps in Object Detection: A Model for In...

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2nd international conference on computational intelligence, communication Technology and Networking, CICTN 2025

作者： Sharma, Tripti Prabha, Sneh Pandey, Divya Prakash Singh, Srijan Singh, Rashika Inderprastha Engineering College Ghaziabad India

ISBN: (纸本)9798331530389

Object detection is the backbone of many modern real-world applications, including autonomous driving, surveillance, and robotics. As the object detection technology improves, particularly convolutional neural networks (CNN), the accuracy of such systems has improved drastically. Each of object have their own set unique characteristics which are used for purpose of object classification which is the backbone of object detection. Despite advancements there a few research gaps such as struggle to detect small and/or partially hidden objects, domain adaptation, multi-object tracking, unbalanced data, etc. Multiple approaches are used for object detection such as R-CNN, speedy R-CNN, Faster R-CNN, and YOLO to name a few. Finally, a model is proposed for object detection in low light conditions using near infrared imaging trained using YOLOv8 which can detect classes like vehicles and persons. The study resulted in maximum F1 score of 0.81 and mAP of 0.924. © 2025 ieee.

关键词： Convolutional neural networks

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State Monitoring and Fault Diagnosis of Power Internet of Things Devices based on Artificial intelligence 1

State Monitoring and Fault Diagnosis of Power Internet of Th...

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1st international conference on Intelligent Systems and computational networks, ICISCN 2025

作者： Yao, Weiqing Luo, Xian Li, Xiang Hu, Bingyao He, Xin Branch of Hubei Electric Power Co. Ltd State Grid Information and Communication Wuhan China Wuhan Diameter Technology Co. Ltd Wuhan China

ISBN: (纸本)9798331529246

In the context of the development of the power industry towards digitalization and intelligence, it is of great importance to monitor the status and diagnose faults of equipment in the power Internet of Things (PIoT). This article intends to combine the theory and methods of Artificial intelligence (AI), and use real-time data analysis and deep learning methods to conduct online monitoring and early fault diagnosis of various devices in the PIoT. In the monitoring of the status of PIoT devices, the monitoring time is 7 days, and the error rate is not higher than 1.25%. Only the first day has the highest error rate, and the fifth day has an error rate of 0.37%. This article significantly improves the fault diagnosis accuracy of PIoT equipment by applying and optimizing new artificial intelligence algorithms, laying a theoretical and technical foundation for its further research and application. © 2025 ieee.

关键词： artificial intelligence equipment status monitoring fault diagnosis power internet of things

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Comparative Study of Artificial intelligence Approaches in Deceptive Opinion Detection 2

Comparative Study of Artificial Intelligence Approaches in D...

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2nd international conference on computational intelligence, communication Technology and Networking, CICTN 2025

作者： Mewada, Arvind Maurya, Sushil Kumar Ansari, Mohd. Aquib Bennett University Greater Noida India Siksha 'O' Anusandhan Bhubaneswar India

ISBN: (纸本)9798331530389

The deceptive opinion spam directly threatens the integrity of online review platforms, which in turn erodes consumer trust and fair competition. In this study, we explore and compare the performance of traditional machine learning models such as Logistic Regression (LR), Support Vector Machine (SVM) as well as recently released advanced deep learning models (BiLSTM, BERT, XLNet, T5, Capsule networks) to detect deceptive reviews. The research tests different feature representations (unigrams, bigrams, trigrams, TF-IDF) as baseline augmented performance metrics using datasets such as Deceptive Opinion Spam Corpus. The XLNet led all models with the highest performance at 89.69% accuracy and 90.03% F1 score, emerging as the most effective on aggregate. The BERT T5 models provided high precision, BiLSTM served the purpose with balanced performance, and Capsule networks demonstrated its promise in capturing hierarchical relationship structures in text data. As a result, this study contributes to opinion spam detection by suggesting good solutions and open tracks for future refinements, such as hybrid model development or domain-specific fine-tuning. © 2025 ieee.

关键词： Adversarial machine learning

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Generative Artificial intelligence Based Biomedical Applications for Pharmaceutical Industry

Generative Artificial Intelligence Based Biomedical Applicat...

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2025 ieee international conference on computational, communication and Information Technology, ICCCIT 2025

作者： Bhatt, Stuti Sharma, Sachin Uttaranchal University Department of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798331512965

The quick advancement in AI has led to the development of refined large language models (LLM). While LLM is a specific type of generative AI focused on generative text generative AI is a broader category encompassing various AI systems that can generate new content including texts, images, music, and more generation models. Generative AI is transforming various fields, like education, finance, marketing, fashion, gaming, medical area or healthcare. Generative AI finds its applications in improving drug discovery, biomedical instrument design, and healthcare delivery within the pharmaceutical industry. In this study, we aim to find generative artificial intelligence-based biomedical applications for the pharmaceutical industry. © 2025 ieee.

关键词： Generative adversarial networks

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