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ISCON 2025: IEEE International Conference on Information Systems and Computer Networks

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ISCON
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截稿日期:
2025-04-30
通知日期:
2025-06-01
会议日期:
2025-09-05
会议地点:
Mathura, India
届数:
7
浏览: 27197   关注: 2   参加: 0

会伴指数 (CP-I)

45.8 / 100
全站第 2,618 名 / 共 5,682 个会议 · 前 47%

信息系统与 Web 第 123 / 253 网络与通信 第 391 / 864

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
56
社区关注 (10%)
19
资料公开度 (15%)
35

用到的输入: 有据可查的届次：7 · 在会伴关注它的研究者：2 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-18

征稿

ISCON 2025 (IEEE International Conference on Information Systems and Computer Networks) is an academic conference held in Mathura, India on 2025-09-05. The paper submission deadline is 2025-04-30. Acceptance notifications are sent on 2025-06-01.

(ISCON) Is 7th conference in sequence on Information Systems & Computer Networks (ISCON - 2025) is a forum in which deliberations will be held on various topics pertaining to Information Systems and Computer Networks. Information Systems addresses the challenges for the gathering, processing, storing, distributing and use of information, and its associated technologies, for society and organizations. The computer networks is an emerging domain and a basis for wide variety of research covering various kinds of network like distributed networks, ad-hoc networks, sensor networks, content centric networks, grid computing, peer to peer networks, different wireless networks, etc. The networks domain has generated challenges for transmission of various data formats in secure form, making technology available for real time data exchange and so on. Up-to-date, complete and accurate information has now become a necessity to survive in an increasingly competitive world. Modern organizations become more and more dependent over information systems to deal with the complexity and changeability of the modern systems. An information system is essentially made up of five components hardware, software, database, network and people. These five components integrate to perform input, process, output, feedback and control. Hardware consists of input/output device, processor, and operating system and media devices. Internet of Things (IoT) consists of emerging technologies to communicate between software/hardware components. Innovative wireless communication and data networking technologies are required to support IoT technologies. For smaller size and improved performance, whole System is required to be implemented as system on chip (SOC), which requires integration of transmitter, receiver, antenna, filters, power supply and peripheral devices integrated on single chip as SOC. SOC are required to be implemented with state of the art VLSI and signal processing technologies. AI Based Data Communication and Computer Networks: AI Security Ethics Governance & Compliance Computer Networks Ad-hoc Networks Wireless and Sensor Network P2P Networks Opportunistic Networks Software Defined Network Network Security Network Management and Traffic Engineering Internet Technology Cross-Layer Design and Optimization Cloud and Grid Computing Cross-Layer Design and Optimization Artificial Intelligence, Machine Learning and Information Retrieval: AIML Data Science & Predictive Models Deep AI Learning & Neural Networks Big Data and Large Scale Methods Data Mining Decision Support Systems Database Systems and Information Security Information Retrieval Document Analysis Search Engine Optimization Digital Marketing Applications of Data Mining like Pandemic and Disaster Management Generative AI and Innovative Computing: Tensor flow PyTorch & Open Source Frameworks Internet of Things IIoT Cloud and Grid Computing High Performance Computing Block chain VLSI and Signal Processing Computational Intelligence System System on Chip (SOC) Nano and Semiconductor Technology RF Circuits and Systems Wireless and Optical Communication systems Robotics Control and Automation Micro- and Nano-Electronics & Photonics Embedded Systems Green Computing Technology Acceptance Edge Computing Fog Computing Vision and Learning: Applied Vision and Machine Learning Bots & Language Processing AI based Vision Applications and Systems AI & Robotics Expert System and Soft-computing Fuzzy & Neural Networks Representation Learning Machine & Deep Learning Techniques Action Recognition Deep AI Learning & Neural Networks Bio-Information Technology: AI for Drug Discovery and Development Bio-informatics and Machine Learning Digital Pathology AI in Healthcare Biomedical Engineering Humanitarian Technology Drug Discovery System and Software: Software Engineering Knowledge Engineering Agile Software Development Computer Architecture and Systems Information Systems
由 Dou Sun 最后更新于

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