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404 articles for “complex algorithms”
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A Hybrid Algorithm for Duplicate Document Detection
Abstract: Identification of duplicate document in a set of documents is a very big issue in information retrieval. In recent years, there are many researches going on and many methods have been proposed to detect and remove the duplicate documents but their relevance is still an issue. This paper proposed a hybrid algorithm based on word position by integrating n-gram searching technique. This experiment also uses inverted index to reduce the …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 24–34 Read article
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Technology with a Human Face: Reimagining Progress through Universal Ethical Principles
Abstract: Technological progression is mostly considered as a tool of human evolution. In this digital era, however, quick novelty has revealed complex ethical gaps in the modelling and implement of technology. Technologies namely artificial intelligence, algorithmic systems, and digital surveillance progressively effect social life, economic activity, and political decision-making. While these technologies provide proficiency and progress, they also advance moral concerns connected to discretion, disparity, liability, and human dignity. The technique …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 30–36 Read article
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A Review and Analysis of Improved Cryptography Algorithm
Abstract: This review paper discusses attacks on the advanced encryption standard algorithm called Rijndael. Earlier, the best attack on Rijndael compromised up to six rounds of the algorithm. The original attacks require nearly the entire Rijndael codebook, which is impractical even for an adversary with high computing power. The complexity of the original attack was 272. This article attempts to reduce the complexity of the attack to 244. A partial sum …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 1, 2016 · pp. 13–16 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Design and Development of an Automated Robotic Algorithm for Blasting, Painting, and Barnacle Cleaning of Offshore Structures
Abstract: Marine surface maintenance tasks such as barnacle removal, abrasive blasting, and protective painting are traditionally carried out using manual methods that are labor-intensive, hazardous, and prone to variability in quality. These challenges are particularly significant for offshore structures, where harsh environmental conditions and restricted accessibility increase operational risks and maintenance costs. This paper presents the design and evaluation of an autonomous robotic system for automated surface preparation and coating of …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 1–12 Read article
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A GLRD based Receiver design using OBEB algorithm for MIMO system
Abstract: This paper gives the performance comparison of a MIMO system applying a modified branch-estimate-bound (MBEB) and ordered branch-estimate-bound (OBEB) algorithms of generalized likelihood ratio detector (GLRD) in the presence of channel estimation error. Here, two sources of errors like, errors due to noise and errors due to time variations induced by Doppler effects are considered. The GLRD solves the transmitted symbols using joint channel symbol estimation by combining the channel …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 1, Issue 1, 2014 · pp. 11–15 Read article
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Blockchain from the Cryptographic Perspective of Privacy and Anonymization for Sustainability
Abstract: This paper delves into the fascinating intersection of cryptography and blockchain technology. It explores the implementation of blockchain in cryptography, highlighting how cryptographic algorithms improve the security of blockchain systems. This paper looks at various issues such as why cryptographic methods in use with blockchain networks guarantee data security, confidentiality, and credibility. It also examines the relationship between consensus algorithms and cryptography, shedding light on how these elements work together …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 13–30 Read article
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Enhancement of Strassen’s Matrix Using Scilab
Abstract: The paper “Enhancement of Strassen’s Matrix Multiplication” is divided into two phases. 1st phase aims at providing ease in the calculations done in ordinary matrix multiplication and using encryption and decryption techniques which enhances security measures. This paper encourages the people to perform less complex calculations. T(n)=7T(n/2)+O(n^2), nlogba=nlog 27==n^2.81, Master’s method T(n)=O(nlog7). The number 2.81 may not seem much smaller than 3, but because the difference is in exponent, the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 1, 2016 · pp. 27–34 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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Multi-population Search Engines for Topology Optimization of Continuum Structures
Abstract: This paper deals with the complex design domains, which usually require higher computational effort, and further tuning of parameters for algorithms is not practicable in terms of time and effort required. Multi search engines can be one such option wherein the search particles in groups are searching the design domain. Aqua search metaheuristic optimization algorithm is used to effectively explore and exploit the search domain. It is observed that this …
Published in Recent Trends in Civil Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 17–23 Read article
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Application of Nondominated Sorting Genetic Algorithm for Multiobjective Optimal Design of Distribution Transformer
Abstract: AbstractIn today’s competitive environment, transformer manufacturers are faced with the exigent task of yielding optimum performance at lowest cost. Considering the aspect of energy shortage and increase in its cost, the complexity of achieving the optimal balance between transformer manufacturing costs and transformer performance is a herculean task, demanding great amount of attempts to reach satisfactory results. To cater with the problem of minimizing transformer losses and cost simultaneously, this …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 44–57 Read article
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A Novel Software Cost Estimation Model Based on the Hybrid of Artificial Neural Network and Firefly Algorithm
Abstract: Software cost estimation is the prediction of software development effort and software development time required to develop a software project. Software cost estimation is a basic and important task for both successful execution of software development life cycle and its management interms of its cost & time. Accurate software cost estimation is considered to be a difficult task as the information about the software project to be developed at the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 38–45 Read article
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Literature Survey of On-chip Architectures and Arbitration Algorithms
Abstract: Today micro-electronic products are influencing the ways of communication, learning and entertainment. The key driving force for the developments during decades is the System-on-Chip (SoC) technologies, where complex applications are integrated onto single ULSI chips. Not only functionally enriched, these products such as mobile phones, notebooks and personal handheld sets are becoming faster, smaller-in-size, larger-in-capacity, lighter-in-weight, lower-in-power-consumption and cheaper. In this survey, communication architectures of SoC are discussed whose design …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 1, 2017 · pp. 17–23 Read article
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Implementation of an Adaptive Filter Algorithm with Subband Filtering Approach on Acoustic Echo Cancellation
Abstract: This paper focuses on model and its realization on digital signal processors (DSP) for suppressing annoying acoustic echoes in telephone and mobile communication applications. For cost sensitive subscriber devices and high quality voice communications the aims are 1) minimum computational complexity 2) maximum convergence speed and 3) maximum echo attenuation. The chosen method for the echo cancellation involves a sub band decomposition performing the adaptive filtering in subbands at a …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 28–34 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Optimizing Handoff Probability in GSM Networks: A Comprehensive Review of Pathloss Modeling Techniques
Abstract: Because wireless networks are becoming more and more popular, it is necessary to combine several heterogeneous networks in order to give users access to global information. An intriguing and modern concept called vertical handoff aims to combine several network interfaces. Battery power is the single most essential parameter that affects specific mobile nodes. The battery life of some mobile nodes is nearly depleted at the conclusion of algorithm execution because …
Published in Journal of Microwave Engineering and Technologies · Vol. 10, Issue 2, 2023 · pp. 22–29 Read article