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198 articles for “Novel algorithm”
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Image Enhancement Using Super Resolution Technique
Abstract: AbstractThe proposed super resolution technique finds it’s applicability in reconstructing a distorted image to a higher resolution image. The photographs consisting of the previous techniques were drawn towards lower force light which was considered to be a huge disadvantage. In view of this default, a novel strategy of Histogram. Equalisation is introduced and further detailed investigation is carried on. Light Enlightenment and picture quality is improved using the proposed technique. …
Published in Current Trends in Signal Processing · Vol. 10, Issue 2, 2020 · pp. 12–16 Read article
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Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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A Novel PWM Based STATCOM Controller for Power Quality Enhancement in Distributed System
Abstract: Static Synchronous Compensator has the capability for the improvement in damping factor and stability by managing the reactive power output. As the STATCOM will itself absorb the reactive power which comes from the distribution line when we apply the capacitive load. To get the higher performance of STATCOM we are mainly depend over control algorithms. As the real power factor has been absorb by the STATCOM at the time when …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 2, 2021 · pp. 24–32 Read article
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Revolutionizing Form and Function: Exploring 4D Printing as a Novel Manufacturing Approach for Complex Generative Structures and Customized Formworks
Abstract: This research delves into the transformative potential of 4D printing manufacturing technology, focusing on its innovative application in fabricating intricate generative and computational structures for adaptable formwork in both individualized and mass-customized scenarios. Spanning the interdisciplinary realms of digital design, digital fabrication, and material science, the study comprehensively explores the integration of these diverse fields. Utilizing generative algorithms and parametric design tools, the research employs simulations to realize complex patterns …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 2, 2023 · pp. 41–50 Read article
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A Novel Approach of Medical Image Fusion using Wavelet Transforms
Abstract: Image processing applications have been growing rapidly in real world. The term fusion means an approach to extract the useful information from several modalities. Image fusion (IF) is used to integrate the complementary information obtained from multisensor, multiview and/or multitemporal and get an image of more information and the quality of which cannot be achieved from any individual image. Different fusion algorithms are useful in many applications like medical diagnosis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 18–25 Read article
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Enhancing Secure Communication Through Hybrid Steganography and Public Key Cryptography
Abstract: This research pioneers an innovative paradigm in secure data communication by seamlessly merging Public Key Digital Image Steganography with public key cryptography. The proposed method leverages the formidable strength of the RSA algorithm, employing a robust 1024-bit key size for secure data encryption. In parallel, the imperceptibility of the F5 steganographic technique is harnessed to clandestinely embed the encrypted message within a cover image. Unlike conventional methods, our scheme introduces …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 3, 2023 · pp. 38–46 Read article
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Advancements in Molecular Engineering: Innovations at the Nexus of Chemistry and Technology
Abstract: Molecular engineering, a frontier of chemistry, merges precision and innovation to design and assemble molecular structures with unprecedented control. This abstract explores recent advances, highlighting key breakthroughs and their transformative impacts. Starting with its roots in chemical synthesis and materials science, it traces the evolution towards rational design driven by computational tools and advanced characterization techniques, enabling tailored molecular architectures. A focal point is programmable molecules, where DNA nanotechnology principles …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 37–43 Read article
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
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Drug-likeness and 3D-QSAR Analysis of 1,2,3-triazoles as Novel Potent HIV-1 Vif Inhibitors: An approach in the development of Leads in the Treatment of HIV Infection
Abstract: AbstractThe human immunodeficiency virus type 1 (HIV-1) Vif protein is one of various primate lentiviral accessory proteins that act as a virulence factor to advance viral duplication and persistence. 3D quantitative structure-activity relationship (QSAR) modeling of thirty-six (36) newly discovered 1,2,3-triazole analogs as potent novel inhibitors of HIV-1 Vif to predict their biological activity (pIC50), to try to improve/optimize it using some numerical data of HIV-1 Vif inhibitors based on …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 9, Issue 3, 2022 · pp. 23–37 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Mechatronics Robot Navigation using Machine Learning through Prolog Programming Language
Abstract: A basic decision-making system is developed in this paper using Neural Network in Machine learningto explore a robot in concealed condition. The robot can move out of explicit labyrinths effectivelythrough modifying its bearing and speed persistently via the neural system model for machinelearning. Over the past several years, navigation tasks for mobile robots have been widely studied.There have been many attempts to introduce the usage of machine learning algorithms. Excellentperformance …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 39–47 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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A Novel Register Minimization Technique for Efficient Implementation of BLMS Filter
Abstract: Purpose: This paper presents a novel register minimization technique for the BLMS filter. The purpose is to reduce the number of registers leading to reduction in hardware resource used for BLMS filter and thus reducing the complexity. Design/Methodology/Approach: In the BLMS filter due to substantial number of register and hardware resource, Strassen’s algorithms are used to minimize the registers. Strassen’s algorithm is used for the matrix multiplication in the BLMS …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 2, 2017 · pp. 18–31 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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Speed Estimator for Sensorless Field-Oriented Control Induction Motor Drive Using Intelligent Neural Networks
Abstract: This paper presents a novel approach to the field-oriented control (FOC) of induction motor drives. It discusses the introduction of artificial neural networks (ANNs) for decoupling control of induction motors using FOC principles. The neural network has been then designed and trained online by employing a back propagation network (BPN) algorithm. The estimator was designed and simulated in Matlab/Simulink. Simulation result shows a good performance of speed estimator. Simulation results …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 3, 2015 · pp. 42–49 Read article
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Secure Snap: Fortifying Image Preservation with a Robust Backup System
Abstract: The importance of implementing a robust backup system lies in preserving critical files against unforeseen events such as system crashes, hardware failures, or natural disasters. Data security plays a pivotal role in safeguarding confidential and vital information. Therefore, it is imperative for backup systems to prioritize security measures. Encryption emerges as a widely adopted method in today's industry to ensure data confidentiality. This project presents a novel computer software that …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 1, 2023 · pp. 17–22 Read article
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Recent Update on Advanced Drug Delivery System
Abstract: Over the past decade, there has been a growing interest in the use of artificial intelligence (AI) technology for analysing and interpreting biological or genetic data, accelerating drug discovery, and identifying selective small-molecule modulators or rare molecules in addition to predicting their behaviour. The use of artificial neural networks (ANNs) for the rapid analysis of massive amounts of data, the development of novel hypotheses and treatment plans, the prediction of …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 22–30 Read article
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Sensor Guard: Thermal Sensor System for Lion Detection and Collision Prevention
Abstract: This paper presents a novel system that utilizes thermal imaging and CCTV cameras integrated with sensors to detect heat sources, specifically focusing on the detection of lions near railway tracks to prevent collisions. The system employs infrared thermal imaging to identify heat signatures of animals, particularly lions, that may create risk to his/her life. By combining thermal sensors and machine learning algorithms, the system is capable of accurately the heat …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 21–28 Read article
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Reinforcement Learning for Adaptive Sensing with Shape Memory Polymer-Based IoT Nodes
Abstract: The rapid expansion of intelligent sensing in the Internet of Things (IoT) has revealed the pressing need for materials and algorithms capable of self-adaptation in volatile environments. Conventional polymer-based sensors and static control strategies often fail to capture nonlinear thermo-mechanical dynamics, leaving them unsuitable for unpredictable operating conditions. Although prior studies have improved polymer composites or introduced algorithmic optimization independently, few attempts have coupled the adaptability of smart materials with …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 370–391 Read article