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198 articles for “Novel algorithm”
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Novel Algorithm for Finding the Range of Fuzzy Values for Quantitative Data Sets by Data Mining and Fuzzy Technique
Abstract: We all know, when we have large data sets, then applying data mining association rule is difficult. Fuzzy based classification technique is to overcome above problem. This technique divides the large data sets in two parts. First part carries useful data sets and second part applies data mining association algorithm. We can also be able to find the frequent classes or frequent fuzzy values of quantitative data sets. We also …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 27–32 Read article
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Visual Cryptography Using Novel Algorithms
Abstract: AbstractEncryption Schemes on images has tremendously increased to meet the demand of secure image transmission over various mediums such as Wired and Wireless Network. Various encryption standards show low efficiency over image encryption and have less impact on efficiency when the size of image is huge. Nowadays, secret communication plays a major role in many fields of mutual life, such as industry, banking and e-commerce etc. Due to the improvement …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 1–10 Read article
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A Novel Algorithm for an Optimal Reconfiguration of a Power Distribution System
Abstract: This paper presents a new optimization method based on the Hybrid Symbiotic organism Search Algorithm (HSOS) for the reconfiguration of a power distribution network for minimizing active power losses and maximizing voltage at each node. The HSOS method is a new metaheuristic algorithm that improves the Symbiotic organism Search (SOS) algorithm. This new technique is a combination of the SOS and the PSO (Particle Swarm Optimization) algorithm. It is applied …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 1, 2020 · pp. 9–17 Read article
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A Novel Hybrid Link Prediction Algorithm for E-Commerce Recommender System Based upon Common Neighbor and Resource Allocation Methods
Abstract: Link prediction is a challenging task in recommender systems, as it requires the ability to accurately predict future links between users and items. In this study, we propose a novel hybrid link prediction algorithm for e-commerce recommender systems that combines the common neighbor and resource allocation methods. The common neighbor method is a straightforward and intuitive algorithm that calculates the number of shared neighbors between two nodes. The intuition is …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 12–17 Read article
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A Novel Genetic Algorithm For Biomolecular Interaction Studies
Abstract: The examination of recent developments in genetic algorithms is covered in this work. The genetic algorithms chosen for analysis are those that the scientific community finds to be of considerable interest. The fresh and demanding researchers will benefit from this review's ability to provide a broader perspective on genetic algorithms. The popular algorithms' benefits and drawbacks, as well as how they are implemented, are presented. In order to aid novice …
Published in Journal of Microelectronics and Solid State Devices · Vol. 9, Issue 2, 2022 · pp. 22–28 Read article
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CTCHFA: Discovery of Circulating Tumor Cells in Metastatic Breast Cancer and Nonmetastatic Cancer by using Novel Hybrid Hierarchical Clustering Algorithm in Firefly Distance
Abstract: AbstractBlood testing for circulating tumor cells (CTCs) has emerged as one of the highest fields in cancer research. CTC detection are an early gene marker of reaction to systemic therapy, whereas their molecular characterization has a strong field that can be translated to individualized targeted treatments and spare breast cancer (BC) patients from unnecessary and ineffective therapies. Genomic research regarding CTCs monitoring for BC is limited due to the lack …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 9–18 Read article
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An Overview, Changes, and Uses of the Novel Social Spider Optimization Algorithm
Abstract: The rising complexity of real-world problems has prompted researchers and computer scientists to look for more effective ways to solve difficulties. Generally inspired by nature, bioinspired metaheuristics based on swarm intelligence algorithms and evolutionary computation have been widely employed to solve complicated, real-world optimization problems because of their adaptability to a broad variety of factors. The social spider optimization (SSO) approach is introduced in this article as a swarm-based algorithm, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 61–71 Read article
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A Novel Sentence Ranking Clustering Based Algorithm for Text Summarization
Abstract: Text Summarization is the process of generating reduced text from source document by extraction or generation. A novel approach will be presented for extractive text summarization. The proposed technique performs filtering and then ranking on sentences based on NLP text mining techniques. This method uses the synonyms extracted from online thesaurus dictionary to identify similar sentences and then clusters these sentences to summarize. The sentences are ranked based on sentence …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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A Novel Decomposable Pixel Component Analysis Algorithm for Automating Multispectral Satellite Image Denoising
Abstract: In comparison with the standard RGB or gray-scale images the usual multispectral images (MSI) is intended to convey high definition and an authentic representation for real world scenes to significantly enhance the performance measures of several other tasks involving with computer vision, segmentation of image, object extraction and object tagging operations. However, in practices a MSI image is always prone to corruption by various sources of noises while procuring the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 2, Issue 3, 2014 · pp. 18–25 Read article
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A Novel Real Time Motion Detection Algorithm
Abstract: Constant identification of moving items is fundamental for feature reconnaissance. Foundation subtraction serves as an essential system normally used to portion the moving questions in picture successions taken from a camera. Some current calculations cannot calibrate changing circumstances and they require manual alignment in connection to the determination of parameters or a few speculations for element evolving foundation. A versatile movement division and recognition methodology is produced by utilizing movement …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 1, 2015 · pp. 8–15 Read article
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A novel approach based on Genetic Algorithm for High Dynamic Range Image
Abstract: In this paper, for the purpose of acquiring ghost free high dynamic range (HDR) pictures, we introduce another methodology which is taking into account genetic algorithms. It is the combination of numerous pictures which is in view of HDR system, just on condition is utilized for work which is no development of an article and the camera when catching various, differently exposed low dynamic range (LDR) pictures. Makes three LDR …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 3, 2015 · pp. 20–29 Read article
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A Novel Priority Based Task Scheduling Algorithm for the Cloud Integrated Sensor Network
Abstract: Load balancing and resource provisioning is the primary and challenging issue in Cloud computing. Client’s requests submitted in the Cloud environment will compete for the available resources in order to complete their execution in best possible minimum time. Many algorithms were advised to provide efficient mechanism for conveying the client's requests to available Cloud resources. The aim of this project is to provide comprehensive overview of the existing load balancing …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 2, 2018 · pp. 13–17 Read article
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Novel Perspectives in Quantum Safe Crypto algorithms for Enhanced Cyber Security
Abstract: This paper explores novel perspectives in quantum-safe cryptographic algorithms to bolster cybersecurity in the face of impending quantum computing advancements. Due to the efficient resolution of intricate mathematical problems by quantum computers, posing a substantial threat to existing cryptographic systems, there is a pressing requirement to create resilient alternatives. This study delves into innovative approaches, drawing from quantum-resistant cryptographic primitives, lattice-based cryptography, code-based cryptography, and hash-based cryptography. By examining the …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 18–22 Read article
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A Reliable Routing Architecture and Algorithm for Network-on-Chip
Abstract: The Network-on-Chip (NoC) is Network-version of System-on-Chip (SoC) means that on-chip communication through packet based networks. In NOC topology, routing algorithm and switching are main terminology. The routing algorithm is one of the key factors in NoC architecture. The routing algorithm which defines as the path taken by a packet between the source and the destination. The paper proposes a novel algorithm for a Network-on-Chip, which is based on packet …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 3, 2015 · pp. 40–48 Read article
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An Iterative Framework for Sparse Signal Reconstruction Algorithms
Abstract: This paper focuses to different strategies will often improve the performance of many sparse reconstruction algorithms The sparse signal recovery problem has been the subject of extensive research over the last few Decades in several different research communities, including applied mathematics, statistics, and theoretical computer science. The goal of this research has been to obtain higher compression rates, stable recovery schemes, low encoding, update and decoding times and resilience to …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 3, 2015 · pp. 25–29 Read article
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Wireless Sensor Network Localization Based on Static Anchor Node
Abstract: Anchor-based localization is a crucial challenge in wireless sensor networks (WSNs), aiming to determine the positions of all sensors by leveraging a limited number of anchor nodes whose locations are known. In this paper, we propose a novel algorithm for anchor-based localization in a static network, which improves the localization accuracy while reducing the computational complexity compared to existing methods. Our algorithm uses a range-based approach to estimate the distances …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 1, 2023 · pp. 12–20 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Q-Metrics for Early Detection of Cervical Cancer
Abstract: The most prevalent form of cancer in women worldwide is uterine cervical cancer. Through screening programs aimed at detecting precancerous lesions most cases of cervical cancer can be prevented. In this article, Q-metrics has been proposed for carrying out automated image segmentation of uterine cervical cancer. The validation of detection of cervical lesions is an important issue in medical image processing because it has a specific impact on surgical planning. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 26–30 Read article
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A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
Abstract: Abstract: It is already known that both auditory and visual stimulus is able to convey emotions in human mind to different extent. The strength or intensity of the emotional arousal varies depending on the type of stimulus chosen. In this study, we try to investigate the emotional arousal in a cross-modal scenario involving both auditory and visual stimulus while studying their source characteristics. A robust fractal analytic technique called detrended …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Learning-based Edge Detection for Video Sequences
Abstract: The advancing fields in video technology like that of 3D TV and Free Viewpoint Video essentially requires more information to transmit in addition with the 2D color maps. This information is the depth maps of the accompanying scenes from the videos sequences in order to facilitate rendering of arbitrary viewpoints within it. Soft computing approaches such as consisting of fuzzy logic, neural or evolutionary computation are the emerging fields with …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 3, 2015 · pp. 1–19 Read article