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19 articles for “hierarchic intelligence”
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On the Power of Oracles in the Context of Hierarchical Intelligence
Abstract: Artificial intelligence (AI) is aimed at the construction of artificial systems with intelligent behavior. At first, AI researchers tried to elaborate a uniform technological (computational) system that had intelligence. However, psychological and neurophysiological studies demonstrated heterogeneous hierarchical organization of the human psyche and intelligence. That is why the contemporary approach to AI is based on heterogeneous hierarchical architecture of computational systems. In this paper, we study the intelligence hierarchy formalized …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 6–17 Read article
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Artificial Intelligence based hierarchical Cognitive Radio Network
Abstract: Faced with ever-increasingly complex communication network architectural difficulties and rising traffic demand across wireless systems, cognitive radio (CR) technology alone is insufficient for dynamic spectrum resource allocation in 5th-generation (5G) networks. A distributed cognitive cellular network is presented in this research work for an efficient real-time procedure, which merges artificial intelligence with CR technology into a sophisticated multi-agent system (MAS). It is a new approach to 5G cellular communication networks. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 13–21 Read article
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Actors, Agents and Oracles in the Context of Artificial Intelligence
Abstract: AbstractIn this paper, we further develop the action theory of stratified hierarchic intelligence oriented at the creation of artificial intelligence. In this framework, we analyze and study the concept of an actor extending this concept and the corresponding model from specifically computational context to systems theory. The goal is to explore and use actor model for intelligent systems. The next step in the development of the action theory of hierarchic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 17–25 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 01–14 Read article
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Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article
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A Review on Robotic Process Automation
Abstract: AbstractThis paper primarily examines mechanical process mechanization and references the association of individuals taking the necessary steps, and the self-evident and maintainable monetary esteem got from actualizing innovative and hierarchical change. It addresses artificial intelligence and subjective advances, and what some are calling Bionics—forms that mix human and mechanical sources of info. The concentration in the course of the most recent decade in protection has been around streamlining business procedures …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 3, 2016 · pp. 23–26 Read article
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Impregnability Framework For PMO
Abstract: Artificial Intelligence, when used with desired hardware systems has proven to be effective and smart than human surveillance and CCTV's, satellites are taking positions of watchmen and guardians for monitoring purposes with basic security concepts and development of AI aided security systems takes in use of what we have learnt over the period of our course. The proposed network security model for the Prime Minister’s office (PMO) includes both the …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 11–16 Read article
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The “March of Progress”: From Cosmic Singularity to Digital Singularity
Abstract: In 1964, Nikolai Kardashev proposed the Kardashev scale, a system for measuring the extent of technological advancement of a civilization based on the magnitude of energy consumption. According to Carl Sagan, the American astrophysicist, we are approaching an inevitable type-1 Kardashev civilized existence. An artificial superintelligence superior to that of humans can concur with a higher-hierarchy Kardashev civilization. Futuristic technological innovations mandate an acceleration in artificial intelligence and superintelligence. This …
Published in Current Trends in Information Technology · Vol. 10, Issue 1, 2020 · pp. 1–8 Read article
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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A Novel Approach for Adjustment of CH in Energy Efficient routing Protocol (LEACH) for Wireless Sensor Network
Abstract: Networking together hundreds or thousands of cheap microsensor nodes allows users to accurately monitor a remote environment by intelligently combining the data from the individual nodes. These networks require robust wireless communication protocols that are energy efficient and provide low latency. In this paper, author develop and analyze low-energy adaptive clustering hierarchy distributed cluster formation technique that enables self-organization of large numbers of nodes, algorithms for adapting clusters and rotating …
Published in Journal Of Network security · Vol. 1, Issue 1, 2013 Read article
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Self-Healing Structural Polymer Composites Incorporating Bio-Inspired Nanofillers
Abstract: Self-healing polymer composites become an attractive family of intelligent materials that are capable of autonomously repairing damage, which will enhance their durability, reliability and service life in extreme engineering applications. The materials are based on the principles of nature, using the nanofillers that are derived from biological systems to improve mechanical properties and self-healing capabilities by utilizing hierarchical structures and multifunctional interface interactions. The recent developments on the formulation of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Enhancement of Inter-vehicular Communication in VANET based on LEACH and AODV Protocol by Removing the Energy Holes
Abstract: Vehicular Ad-hoc Networks (VANET) is a particular kind of Mobile Ad-hoc network (MANET), in which vehicles on the road form the nodes of the networks. VANETs several applications are used in Intelligent Transportation System. The dynamic variation in topology shortens the forceful time of routing. Ad-hoc on Demand Distance Vector (AODV) routing protocol is the important routing protocol for VANET. It makes several unutilized routes between a source and a …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 1, 2016 · pp. 25–32 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Analysis of Image Coders
Abstract: AbstractIn this paper we work on the performance analysis of well-known image compression algorithm i.e., wavelet based image compression which is Set Partition in Hierarchical Tree (SPIHT) and also no list SPIHT (NLS). As SPIHT uses three variable lists which require large hardware implementation and hence extra cost and high encoding and decoding time is required but NLS use marker instead of list which are placed on lower nodes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 26–30 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article