会议信息

CISES 2026: International Conference on Intelligent and Secure Engineering Solutions

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截稿日期:
2026-08-31
通知日期:
2026-10-30
会议日期:
2026-12-03
会议地点:
Greater Noida, India
届数:
4
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会伴指数 (CP-I)

41.9 / 100
全站第 4,605 名 / 共 5,695 个会议 · 前 81%
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%)
43
社区关注 (10%)
5
资料公开度 (15%)
35

用到的输入: 有据可查的届次：4 · 过去 24 个月打开过本页的研究者：1 人

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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 2026-10-10

征稿

CISES 2026 (International Conference on Intelligent and Secure Engineering Solutions) is an academic conference held in Greater Noida, India on 2026-12-03. The paper submission deadline is 2026-08-31. Acceptance notifications are sent on 2026-10-30.

The CISES2026 invites researchers, academicians, industry professionals, and research scholars to submit their original and unpublished research contributions. The conference aims to provide an international platform for sharing innovative ideas, recent research outcomes, and practical solutions in the areas of intelligent systems and secure engineering technologies. CISES2026 encourages high-quality research papers that address theoretical advancements, system design, implementation challenges, and real-world applications, which match the theme of the conference as well as more focused areas presenting recent research and development in following areas. • Intelligent Computations and Communication • Soft Computing and AI Driven Process Automation • Emerging Sustainable and Secure Engineering Solutions/Applications List of Topics, but are not limited to: Genetic Algorithms and Programming Evolutionary Multi-Objective Optimization Evolution Strategies, Evolutionary Robotics and Intelligent Agents Hybrid Systems evolutionary Rule-based systems Memetic Algorithms Hyperheuristics Biocomputing and Complex Adaptive Systems Swarm/Collective Intelligence Bioinformatics and life sciences Computer vision, image processing and pattern recognition Dynamic environments, time series and sequence learning Visualizing and improving the interpretability of machine learning models Generalization and overfitting Policy search and reinforcement learning Fuzzy Logic, Rough Sets and Bayesian Methods Cognitive Learning, Learning Paradigms Explainable AI, and adversarial Machine Learning Extreme Learning Machines, Quantum Computing Generative Adversarial Models Natural Language Processing Computational Genomics Recommendation Systems Renewable Energy Systems Smart Cities Intelligent Transportation Systems Neuroscience and Healthcare Graphical Models Climate Science Remote Sensing SSE Devices Modelling Computational Finance Internet of Things (IoT) Internet of Medical Things (IoMT) and Smart Healthcare Body Area Network Cyberhealth and medical data security Elderly and bedridden patient monitoring Medical embedded systems Natural Language Processing in Healthcare Predictive Analytics in Healthcare Music Information Retrieval Big Data Analytics Artificial Intelligence, Machine Learning and Deep Learning Concepts Modelling Soft Computing and Nature inspired computing Human Machine Interaction Web Intelligence and Social Networking Cognitive systems and Cognitive modelling Biocomputing and Complex Adaptive Systems Bio-Inspired Hardware and Networks Swarm/Collective Intelligence Cloud, Fog and Cluster computing Wireless and Sensor Networks Ubiquitous Intelligence and Mobile computing Emerging tools, technologies and Security Data mining Bioinformatics and life sciences Cognitive systems and cognitive modelling Game Theory and Applications Augmented & Virtual Reality Industry 4.0 Social and Crowd Computing Robotic Process Automation 5G/6G Communications Cybersecurity and cybernetics AI-Driven Industrial automation AI-Driven bioinformatics and Bio-engineering Intelligent E-learning systems Neural Networks and Pattern Recognition Security, Authentication and Privacy Augmented Reality and Virtual Reality Smart Environment and applications Block Chain and Cryptocurrency Sentiment Analysis
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