標題: Titlebook: Proceedings of International Conference on Data, Electronics and Computing; ICDEC 2023, Volume 2 Nibaran Das,Ajoy Kumar Khan,Debotosh Bhatt [打印本頁] 作者: ossicles 時間: 2025-3-21 17:56
書目名稱Proceedings of International Conference on Data, Electronics and Computing影響因子(影響力)
書目名稱Proceedings of International Conference on Data, Electronics and Computing影響因子(影響力)學科排名
書目名稱Proceedings of International Conference on Data, Electronics and Computing網絡公開度
書目名稱Proceedings of International Conference on Data, Electronics and Computing網絡公開度學科排名
書目名稱Proceedings of International Conference on Data, Electronics and Computing被引頻次
書目名稱Proceedings of International Conference on Data, Electronics and Computing被引頻次學科排名
書目名稱Proceedings of International Conference on Data, Electronics and Computing年度引用
書目名稱Proceedings of International Conference on Data, Electronics and Computing年度引用學科排名
書目名稱Proceedings of International Conference on Data, Electronics and Computing讀者反饋
書目名稱Proceedings of International Conference on Data, Electronics and Computing讀者反饋學科排名
作者: Immunotherapy 時間: 2025-3-21 20:44
NVF and CSF Based Image Watermarking Using SVD and Contourlet Transform,nique blend of the two transforms. The analysis of imperceptibility has been done with respect to a number of previous standard works, along with checking for robustness and results after applying the popular attacks.作者: induct 時間: 2025-3-22 04:05 作者: Exterior 時間: 2025-3-22 05:49 作者: 羽毛長成 時間: 2025-3-22 11:20 作者: 有惡意 時間: 2025-3-22 14:54
Video Indexing Through QR Code of Human Faces Using MTCNN Algorithm, has several different approaches. Still, all the methods are not efficient in detecting a face from video because of directional changes of the face, the brightness of the face image, illuminations of face images, etc. Also, if there is a method for efficient detection, there is a lack of compact r作者: Anticoagulant 時間: 2025-3-22 19:48 作者: Exploit 時間: 2025-3-22 23:17 作者: Omnipotent 時間: 2025-3-23 02:31 作者: 忍受 時間: 2025-3-23 07:49
Efficient Deep Learning Inference Engine on SoC Platform,olves various computationally intensive mathematical operations like convolution, multiplication, etc.?These complex computations not only consume large hardware resources?but also increase the latency. Various Deep Network models like LeNet, GoogleNet, VGGNet, AlexNet, etc. have the same operationa作者: 濕潤 時間: 2025-3-23 13:45
BLUE-Net: BLUmberg Function-Based Ensemble Network for Liver and Tumor Segmentation from CT Scans,rning models, particularly U-Net-like architectures, have obtained notable success in medical image segmentation. Ensemble learning is a powerful approach that helps leverage the performance of an overall model by incorporating the decisions of multiple models. In this paper, we propose an ensemble 作者: 藥物 時間: 2025-3-23 16:17
Identification of Lung Cancer Affected CT-Scan Images Using a Light-Weight Deep Learning Architecture,ply various measures for reducing the adversity of this disease among the patients. It usually requires the understanding of Computed Tomography Scan (CT-Scan) images captured from the lung for inferring if the patient is affected by lung cancer or not. This is essentially a classification task that作者: 令人發(fā)膩 時間: 2025-3-23 20:41 作者: Connotation 時間: 2025-3-23 22:38 作者: Anonymous 時間: 2025-3-24 05:39
A Testable and Fault-Tolerant Synthesis for Paper-Based Digital Microfluidic Biochips Using Swarm Optimization, biochemical and biomedical assays. On a P-DMFB chip, patterned electrode array and control lines are printed by CNT ink on a paper with dielectric parylene-C film and hydrophobic teflon film. Here the droplets are controlled by electrowetting technology. Manufacturing of P-DMFBs is efficient and le作者: troponins 時間: 2025-3-24 09:25 作者: 小官 時間: 2025-3-24 13:08
A CNN Accelerator on RISC-V-Based SoC for Latency Constrained Edge Networks, deep learning techniques used in different domains like computer vision, audio and video processing, etc. Hence various smaller scale deep learning models have already been proposed for execution on edge devices. Either the accuracy or latency of these lightweight models is not sufficient for using作者: 商店街 時間: 2025-3-24 16:53 作者: 智力高 時間: 2025-3-24 21:40
Federated Learning-Based Malware Detection for IoT Platforms,lace. This study presents a comprehensive exploration of the potential of federated learning to address IoT malware concerns while delving into the security intricacies inherent in this novel learning paradigm. We introduce a novel framework that leverages federated learning to detect malware threat作者: periodontitis 時間: 2025-3-25 01:54 作者: 同義聯(lián)想法 時間: 2025-3-25 06:10
Enhancing Osteoporosis Diagnosis Through Imaging: A Promising Approach for Early Detection and Monitoring,decline to be stopped. The paper describes various methods to find knee osteoporosis. The described techniques entail taking images of the joints from the affected people. The obtained data is then used to quantify osteoporosis-related patterns and extract pertinent features using sophisticated appr作者: Optic-Disk 時間: 2025-3-25 11:06
IoT-Based Encrypted Speech Emotion Recognition in Cloud, Things (IoT) devices from a user. Before dealing with cloud, a hybrid and hyper chaotic encrypted server used to ensure the user privacy. In the cloud, a previously trained Convolutional Neural Network (CNN) is used for the selection of the learning features from the speech signals. A support vecto作者: chronology 時間: 2025-3-25 11:54
Road Segmentation Using Variant Convolutional Neural Network Architectures Based on Discrete Wavelet Transform,est fires, storms, traffic management, road extraction, and so on. Roads can be extracted from remote sensing imagery using a variety of models that employ both conventional and deep learning techniques. The conventional methods had a high level of false detection of road extraction, whereas deep le作者: radiograph 時間: 2025-3-25 19:28 作者: 我邪惡 時間: 2025-3-25 21:45 作者: 內部 時間: 2025-3-26 03:15
2367-3370 mber 2023. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and.control..978-981-97-6488-4978-981-97-6489-1Series ISSN 2367-3370 Series E-ISSN 2367-3389 作者: 共同確定為確 時間: 2025-3-26 04:18
Nanomaterials for Biosensing Applications, selection of materials for the fabrication of universally reliable biosensors has been conducted. This survey reflects detailed utilization of various nanomaterials based on sensitivity, detection limit and linear range.作者: 強行引入 時間: 2025-3-26 12:26 作者: Range-Of-Motion 時間: 2025-3-26 16:18 作者: Baffle 時間: 2025-3-26 20:13
Conference proceedings 20243) organized by Department of Computer Science & Engineering, Mizoram University (A Central University) Aizawl, India & Department of Computer Science & Engineering, National Institute of Technology Mizoram Aizawl, India during 15 – 16 December 2023. The book covers topics in communication, networki作者: 發(fā)誓放棄 時間: 2025-3-27 00:26 作者: 除草劑 時間: 2025-3-27 01:29
Pawandeep Kaur,Sumit Patidar,Indu Bala,Maad M. Mijwilelf improved by the Stokes cocycle theorem. We provide Sibuya’s proof of the Malgrange-Sibuya theorem. We make explicit the link between the Stokes phenomenon and the summation of a formal fundamental solution..We end the chapter with the definition of infinitesimal neighborhoods suited to describin作者: 閃光你我 時間: 2025-3-27 05:44 作者: STAT 時間: 2025-3-27 11:39
Surya Majumder,Arup Sau,Akash Halder,Priyam Saha,Ram Sarkarcond in a series of three, entitled .Divergent Series, Summability and Resurgence.. It is aimed at graduate students and researchers in mathematics and theoretical physics who are interested in divergent series, Although closely related to the other two volumes, it can be read independently..作者: 優(yōu)雅 時間: 2025-3-27 15:57
Kasturi Ganguly,Neelotpal Chakrabortyo are interested in divergent power series and relatedproblems, such as the Stokes phenomenon. The prerequisites are a workingknowledge of complex analysis at the first-year graduate level and of thetheory of resurgence, as presented in volume 1.?978-3-319-28999-1978-3-319-29000-3Series ISSN 0075-8434 Series E-ISSN 1617-9692 作者: Exaggerate 時間: 2025-3-27 20:20
Subhabrata Dhar,Sabyasachi Chatterjee,Prabir Banerjeeo are interested in divergent power series and relatedproblems, such as the Stokes phenomenon. The prerequisites are a workingknowledge of complex analysis at the first-year graduate level and of thetheory of resurgence, as presented in volume 1.?978-3-319-28999-1978-3-319-29000-3Series ISSN 0075-8434 Series E-ISSN 1617-9692
