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1974 articles for “ITS approach” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Network Intrusion Detection System using Machine Learning and Deep Learning Approach
Abstract: Networks play a significant part in today’s world; fast internet and communication industries result in vast network size and data expansion. Furthermore, attackers aiming to launch various cyberattacks inside the system cannot be neglected. An IDS keeps track of the network’s software and hardware security to preserve its privacy, integrity, and accessibility. Despite the significant efforts of the researchers, current IDS continue to confront challenges in terms of accuracy rate, …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 7–34 Read article
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Preventive Approaches in Endodontic Treatment
Abstract: This manuscript is a review of conservative and preventive approaches to restoration of teeth during and after endodontic procedures (serving to protect them from fracture or recurrent caries). These approaches overcome major barriers in restoring cosmetics and function to the dentition. Forces during condensation of gutta percha, post placement, traumatic occlusion, and recurrent caries are major causes of failure associated with endodontic therapy. A large number of endodontically treated teeth …
Published in Research and Reviews: A Journal of Dentistry · Vol. 6, Issue 2, 2015 · pp. 26–31 Read article
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Aesthetic Rehabilitation of Primary Anterior Teeth using Different Approaches: A Case Series
Abstract: One of the challenges faced by Pedodontists is the successful aesthetic rehabilitation preschool children who have advanced carious lesions. Importance given to oral health care in preschool children is absent in most of the developing and underdeveloped countries. Early loss of primary teeth causes pain, discomfort, and functional disturbances. It alters the quality of life of patients and their parents. It hampers the cognitive development of the child because of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 1, 2019 · pp. 8–13 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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Assessing The Efficacy of Modern Biodiversity Conservation Approaches: Advancements and Challenges
Abstract: This study aims to offer valuable insights by investigating the advancements and challenges inherent in these strategies. Its objective is to assess whether these contemporary approaches have truly contributed to enhancing biodiversity conservation and fostering the sustainable utilization of resources, as compared to conventional historical practices. This study focuses on the different approaches of conservation and advancements, challenges and comparative analysis of biodiversity conservation. The goal of the biodiversity project …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article
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Navigating Risk-Based Approaches in Quality Assurance: Strategies, Implementation, and Impact
Abstract: This review investigates the implementation of a risk-based approach within Quality Management Systems (QMS) as stipulated by ISO 9001:2015 regulations. It scrutinizes the challenges organizations encounter when transitioning to ISO 9001-2015 requirements, particularly focusing on the alignment of conceptual frameworks and processes among stakeholders. A key objective of this review is to propose a refined definition of "quality risk" and "risk-based thinking in QMS" to address the idiosyncratic characteristics of …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 2, 2024 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Computational Approaches to Understanding Cellular Signaling Pathways
Abstract: Cellular signaling pathways are fundamental in regulating vital processes, such as cell growth, differentiation, and apoptosis. The intricate and interconnected nature of these signaling networks requires sophisticated methods for their analysis. Computational approaches, including mathematical modeling, network analysis, and machine learning, have revolutionized the way researchers analyze and simulate cellular signaling. This article provides a comprehensive overview of computational strategies employed to model signaling pathways, with a focus on integrating …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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Optimized Design and Control of Oil Exploitation Strategies: An Assisted Approach
Abstract: Because there are so many factors and scenarios to consider, optimizing oil exploitation tactics requires complicated decision-making. Conventional approaches frequently concentrate on particular elements of the design infrastructure, which restricts their capacity to fully handle the process. In order to maximize a set of oil exploitation variables in a hierarchical fashion, this research proposes a novel assisted optimization technique that combines mathematical algorithms with engineering analysis. By grouping variables into …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 29–34 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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A Review on Fundamental Premises and Algorithmic Approaches in Compressive Sensing
Abstract: This paper addresses the classical approach of acquiring signals by following the well celebrated Shannon sampling theorem that underlies the majority devices of current technology, viz. analog-to-digital conversion, medical imaging, or audio and video electronics. In medical imaging, there are problems related to acquisition time and compression. Compressive sensing (CS) paradigm addresses the shortcomings of traditional data acquisition by sampling signals much more efficiently. CS is a novel kind of …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 18–24 Read article
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The Development of the Quality Assurance Approach in the Building Construction Industry; the Malaysian Context
Abstract: This paper reviews the quality assurance approach which may have a huge potential impact in Malaysia’s construction industry. Rather than the price of the product alone, it has been stated by many previous researchers that a better product quality will serve as an advantage in sustaining the competition that emerges in the construction market. Recently, quality has been identified as one of the basic requirements that the clients tend to …
Published in Journal of Construction Engineering, Technology & Management · Vol. 2, Issue 1-3, 2012 · pp. 66–74 Read article
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System Preplanning Theory by using Failure vs. Reliability Analysis of DSP-270P Polycrystalline SPV System: A Comparative Approach
Abstract: A preplanning idea is always required before installing any new system. So, we present an approach for technical preplanning excluding mechanical designing and cost through this paper, to make the system more reliable as well as proper array selection scheme through the comparative analysis. It is implemented by using the comparative approach of optimized and non-optimized output for DSP270P polycrystalline SPV array through PSO, P&O and GA techniques with the …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 1, 2017 · pp. 36–40 Read article
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A Novel Approach of Sensorless Control of BLDC Motor with Z-Source Inverter
Abstract: Brushless dc motors are getting more attention in many areas owing to its compactness, maintenance, high efficiency and low cost. Precise detection of rotor position is essential to achieve high efficiency. Back EMF method is one of the most popular control methods for sensorless brushless dc motor. But this method is not suitable for high-speed operation, for the pulse width of zero-vector may be very short. This paper proposes an …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 3, 2018 · pp. 9–16 Read article
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A Disaggregated Optimization Approach for Competitive Procurement of Energy and Operating Reserve
Abstract: In restructured environment, Ancillary Services (AS) plays a vital role, as they are required for reliable and secure operation of the power system. Operating Reserve (OR), as one of the main AS, is a capability of a power system to prevent any unexpected imbalances caused by generation, transmission or equipment outage has been considered in this work. The approach is based on disaggregated clearing of energy and OR, which can …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 33–41 Read article
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A Novel Approach for Enhancing Direct Hashing and Pruning for Association Rule Mining
Abstract: ABSTRACTData Mining has been considered as a promising field in the intersection of databases, artificial intelligence and machine learning. Association rule mining has been one of the most popular data mining subjects, which can be simply defined as finding interesting rules from large collections of data. This paper introduces an enhanced hashing approach in discovering associations for largeitemsets. The proposed hashing approach scans the entire database only once using the …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 1–8 Read article
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A Case based Practical Approach for Novel Data Transformation to Enhance Accuracy of Decision Tree Ensembles
Abstract: AbstractIf we talk about any real world situation then we can see that all the situations dramatically changes as the time passes. If we say this statement in some technical form, concepts changes gradually. This situation is called as Concept Drift that is the core of any approach. Until we cannot get the accurate output for a given input parameter, the concepts will concurrently change. To overcome this situation we …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 1–6 Read article
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Face and Iris based Multimodal Person Identification using Likelihood Ratio Score Fusion Approach.
Abstract: AbstractThe aim of this paper is to propose a multimodal biometric system where likelihood ratio score fusion technique has been used to combine face and iris uni-modal biometric system outputs. Active Shape Model (ASM) has been used to extract the facial features and standard methods have been applied to effectively extract the human iris features. To evaluate the output of each individual modality of face and iris, Discrete Hidden Markov …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 60–67 Read article