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729 articles for “Computer Algorithms”
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Automation to Computation for Wireless Networks—GSM
Abstract: AbstractZigBee technology has aimed to exchange data wirelessly at a short distance using radio wave transmission comprising features to create ease, perception and controllability. Compact robot system forms have impetus over police investigate up to explore of explosives. Home appliance control and monitor have been additive after embedded explore formative within cell phones. Railway level crossings manned or unmanned have rectification opportune same as signal purviews through ZigBee coded sensing …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 1, 2020 · pp. 1–7 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
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Remote Sensing Classification Based on Improve Ant-Miner Algorithm: A Case Study of Alwar, Rajasthan, India
Abstract: Earth Observation Satellite (EOS) image itself contains image ambiguity. Various conventional methods like minimum distance to mean or maximum likelihood image clustering algorithm do not meet the accuracy that have required by user in the virtue of cost-effective land use/land cover classification. In Ant colony optimization (ACO), association rule mining is a prevalent and well researched method for discovering useful relations between variables in large databases. The proposed work presents …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 3, 2015 · pp. 1–5 Read article
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Quantum Key Distribution Based on BB84 Protocol
Abstract: Classical cryptosystem, which is based on mathematical complexity and irrationally time-consuming to decode, is endangered with the inception of quantum computers empowered with unprecedented computational processing along with sophisticated quantum algorithms. Thus requiring quantum cryptography and Quantum Key Distribution (QDK) protocol for secured key distribution. This thesis work contributes to the field of cryptography. First of all, it shows unconditionally secured QKD which is bound by quantum mechanics laws. It …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 3, 2024 · pp. 26–32 Read article
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Dynamic Pagination for Efficient Memory Management over Distributed Computational Architecture for Swarm Robotics
Abstract: In the problem of predetermined paging there involves cost for fetching each page into the cache. We design a dynamic paging algorithm which competes with the available memory for the effective implementation of dynamic paging, devoid of problems associated with memory management. This is the first dynamic paging algorithm for collectively competing with other unused memory stacks and operational register units varying from instance to instance. The proposed algorithm also …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 2, 2014 · pp. 1–4 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Assessing the Effectiveness of Machine Learning Algorithms in Simulating Malware Detection Processes
Abstract: On the information system comprehends, computer virus attacks play a very important role and, by undermining regionally and globally, are considered one of the most critical threats. The traditional malware detection methods, more varied, being based on signature, are incapable of providing sufficient coverage over malicious programs in a short time. This is due to the speed of evolution and growing complexity of malware variants. This situation, in turn, requires …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 11–20 Read article
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Attitude Control System for Flight: A Comprehensive Review
Abstract: Attitude control systems is an integral part of flight control systems because they are responsible for the stability and maneuverability of different airborne vehicles within all flight regimes. The following paper presents an extensive overview of attitude control systems that are commonly in use in various flight applications and examines their design implementation, and performance on the space. The paper starts with a general overview of the main mechanisms of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 8–14 Read article
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Urban Planning Mitigation Trajectories for Urban Heat Island (UHI) A Case Study of Guntur, Andhra Pradesh, India
Abstract: AbstractGlobal radiation related solair-temperature directly influences Urban Heat Islands (UHI) as the built environments and surrounding atmosphere cause increase in urban solair temperatures, the resulting temperature completely depends on the thermal properties of the exposed materials. Urban heat islands can lead to deterioration of flora and fauna, elevation of ground level ozone, health disorders and increase in building energy consumptions. The study area of Guntur region which is susceptible to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 8, Issue 2, 2018 · pp. 12–29 Read article
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Stream Cipher Based Modified Espresso Algorithm for 5G Communication
Abstract: AbstractTo meet the requirement of 5G communication, Dubrova and Hell design Espresso, which is a stream cipher. Espresso uses 128-bit key, 96-bit initial vector (IV) and a 6-degree Boolean function as its output function. Jia-Min and Wen-Feng showed that algebraic attack is possible with time complexity being O(2(66.86)). In this paper, we present a methodology for the modification of Espresso with reformed Galois configuration of 256-bit Nonlinear Feedback Shift Registers …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 1, 2019 · pp. 32–40 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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Dynamic Data Flow Based Spatial Sorting Method for GPUs: Software Based Autonomous Parallelization
Abstract: The direct communication between distant parts of a computer system for a mesh or grid based scalable parallel system isn't cost effective. Thus, we have presented and evaluated the performances of spatial sorting method for multi-core GPUs (Graphic Processing Unit) computing. It is a parallel sorting algorithm for autonomous threading of workload which is considerably faster than Thrust Merge sorting, which is known to be the best comparison based sorting …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 2, 2014 · pp. 11–14 Read article
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Human Drone Natural Interaction
Abstract: The necessity for user-friendly and intuitive control systems has been brought to light by the growing use of drones in a variety of businesses and by the general public. However, existing drone piloting techniques frequently need intricate manual manoeuvres and technical know-how, creating difficulties for novice and inexperienced pilots. The main goal of this effort is to create a ground control unit (GCU) that, instead of using a traditional radio …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 2, 2023 · pp. 10–20 Read article
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Algorithmic Ecology: A Framework for Achieving Carbon-Neutrality in Global Data Infrastructure
Abstract: The exponential growth of digital infrastructure has positioned data centers as critical enablers of the global digital economy, yet their environmental impact has become a paramount concern. Data centers consumed approximately 205 TWh globally in 2018, representing about 1% of global power usage with a steady 6% growth trend. This review synthesizes current literature on green algorithms and sustainable data center technologies, examining the intersection of artificial intelligence, machine learning …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 33–48 Read article
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A Survey on Ant Colony Optimization Algorithm for Travelling Salesman Problem
Abstract: The ant colony optimization algorithm, abbreviated as ACO, is a meta-heuristic optimization algorithm which is based on the probability for solving different computational problems such as travelling salesman problem (TSP), job scheduling problem, vehicle routing problem etc. This algorithm is a member of ant colony algorithms family in swarm intelligence methods, which is based on the foraging behaviour of real ants. This paper presents a review on a variety of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 33–38 Read article
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An Investigative Study on Cache-Oblivious Data Structures
Abstract: Cache-oblivious data structures and data management systems have emerged as critical components in modern computing environments, aiming to optimize memory access patterns across different levels of the memory hierarchy without explicit knowledge of cache sizes or configurations. This study presents an overview of cache-oblivious techniques, including adaptive data structures, compression, parallel processing, and security considerations. The workexplores future directions in cache-oblivious systems, such as non-volatile memory support, graph processing, edge …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 33–37 Read article
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Cogeneration of Fast Motion Estimation Processor and Algorithms Using Loss Less Compression
Abstract: Flexible and scalable motion estimation processor for the h.264 advanced video coding standard handling the processing requirements for high-definition video and suitable for Field-Programmable Gate Array (FPGA) implementation. The new motion estimation algorithm of kalman filter used to reduce the computational complexity. The eight custom instruction sets are used in the motion estimation. All processor instances are remaining binary compatible so recompilation process is not required. The motion estimation algorithm …
Published in Journal of VLSI Design Tools and Technology · Vol. 3, Issue 2, 2013 · pp. 1–5 Read article
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A Review Paper on Attendance Tracking System Using Cloud Computing
Abstract: Attendance monitoring systems are critical in educational institutions and organizations for maintaining accurate records of student or staff attendance. In contrast, traditional methods frequently rely on manual processes, which are not only time-consuming but also susceptible to errors. To overcome these issues, this work suggests an innovative Attendance Tracking System based on Cloud Computing and Artificial Intelligence (AI). The technology uses powerful AI algorithms for facial recognition, allowing for automated …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 30–35 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 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