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624 articles for “no search.”
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Survey on Detecting Users Behavior Applying Country- Wise Local Search
Abstract: In this paper we have discussed about the data mining, web mining and the recommendation network. Web mining is explained with the classification of web mining. Recommendater system is explained properly with the explanation of whole procedure of the recommendater system. Various sequential mining pattern algorithms have been explained with various pros and cons. Also, all the work that has been done by them till date is explained fully with …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 11–19 Read article
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An Introduction to Robotics and its Interaction with Humans
Abstract: AbstractThe purpose of this paper is to show an application of path planning for a mobile pneumatic robot. The robot is capable of searching for a specific target in the scene and navigating towards it, in an a priori unknown environment. To accomplish this task, the robot uses a colour pan-tilt camera and two ultrasonic sensors. As the camera is only used for target tracking, the robot is left with …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 1, 2017 · pp. 1–5 Read article
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Metrics and Measures to Job Placement
Abstract: ABSTRACTA successful job search procedure is marked by nearness to the dream job. This work elaborates the job navigation progression on basis of some experiments and studies. The most potent, elaborate with global reach, and efficient media to interface both job seekers and employers rides on internet. The work is attempted to serve the former and resolve problems. Some most experienced steps for searching jobs are detailed with. For more …
Published in Current Trends in Information Technology · Vol. 2, Issue 1, 2012 · pp. 26–38 Read article
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A Study on - Customer Perceptions Towards Online Shopping with Special Reference to Salem District
Abstract: Online searching (sometimes called e-tail from "electronic retail" or e-shopping) could be a sort of electronic commerce that permits shoppers to directly purchase product or services from a trafficker over the net employing an application program. It's the method of shopping for product and services from merchants United Nations agency sell on the net. The results prove that the respondents had perceived positive manner in on-line searching. This clearly justifies …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 3, 2018 · pp. 28–32 Read article
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Deep Web Harnessing Tools
Abstract: AbstractMuch of the information is valuable and accessible on the internet, but a vast amount of high-quality information is not searched even by the best search engines. Estimates put the volume of the hidden internet at up to 500 times the size of the surface web. Surfing the visible web failed to satisfy many searchers’ information needs. For this reason, the deep web lying outside the scope of Google and …
Published in Journal of Advancements in Library Sciences · Vol. 1, Issue 1, 2014 · pp. 48–56 Read article
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Fractal Geometry and Its Application to Image Compression
Abstract: This paper presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression. Image compression using fractal has a major drawback of large encoding time and several algorithms have been developed to reduce the encoding time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 4–12 Read article
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Page Ranking and SEO Rank Factors: A Review
Abstract: AbstractOver the years search engines have adopted different search algorithms to provide better and relevant search results for user queries and among that PageRank method has been extensively used. Its adoption has also led the websites to use various SEO techniques to improve their page rankings and standard. This paper provides an overview of the PageRank concept discusses the different page ranking algorithms and also highlights the different strategies that …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 2, 2019 · pp. 15–19 Read article
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Energy Efficient Data Aggregation of Heterogeneous Network using Metaheuristic Approach
Abstract: The development of wireless sensor network results in faster technological development and its fundamental problem of network life time in the given energy constraints leads to several research study and its optimization. Sensor networks revolutionize the paradigm of collecting and processing information from diverse environments. In this paper proposed the distributed clustering optimization to determine the better network performance using the meta-heuristic approach based on Improved Harmony Search Algorithm (IHSA) …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 1, 2014 · pp. 8–15 Read article
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Comparison of Control Strategies using Soft Computing Techniques for Shunt Active Power Filters in Aircraft Power Utility of 400 Hz
Abstract: Three different control strategies for extracting reference currents for shunt active power filters optimized using adaptive tabu search and genetic algorithm have been compared and their performance has been evaluated under different load conditions. The compensation ability of different control strategies will be compared and suggestion will be given for optimum strategy to be used under different loads. Simulation results using MATLAB have been included.Keywords: Active power filter (APF), constant …
Published in Journal of Aerospace Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 9–21 Read article
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Off-Line List Accessing Algorithms with Circular Doubly Linked List and Partial Cost Model
Abstract: List Accessing Problem (LAP) has been an interesting and challenging research area for computer scientists since last four decades. Various algorithms have been developed to access the records by different researchers with an intention to minimize the cost of traversal. This paper describes two newly proposed algorithms, which are variants of FC and MTF for circular doubly linked list with the use of partial cost model. A theoretical as well …
Published in Current Trends in Information Technology · Vol. 1, Issue 1, 2011 · pp. 16–22 Read article
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The Rise of AI in E-Commerce: Transforming Shopping Experiences
Abstract: The field of e-commerce is transforming due to the integration of artificial intelligence, offering businesses fresh possibilities to enhance customer experiences, streamline operations, and foster expansion. This article explores the transformative impact of artificial intelligence (AI) on various aspects of e-commerce, including personalized shopping experiences, intelligent chatbots and virtual assistants, predictive analytics for inventory management, dynamic pricing strategies, visual search and image recognition, fraud detection, and security measures, augmented reality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 22–26 Read article
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Artificial Intelligence Technology in Libraries: Transforming Information Access and Management.
Abstract: This article provides an extensive summary of the integration of AI technologies with library services. Examining current applications, benefits, challenges, and future trends, the discussion highlights the transformative potential of AI and advocates for the ethical implementation of execution strategies. As libraries evolve in the digital age, adopting AI in a responsible and informed manner will be crucial to maintaining their role as vital centers of knowledge and community engagement. …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 · pp. 1–5 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Smart and adaptive cutting-edge IoT based implementation for remote environments
Abstract: In remote, mountainous, or snow-covered regions, mobile networks and GPS signals usually become unreliable, which creates major challenges for search and rescue (SAR) operations. To overcome the issue, this paper presents a compact, low-power, voice-activated wearable device that integrates LoRa communication with a TinyML-based keyword detection system. The proposed device enables individuals to send signals in areas where GPS coverage is unavailable. Using the Received Signal Strength Indicator (RSSI), the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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An Improvised Hybrid Heuristic Algorithm for Uncapacitated Facility Location Problems
Abstract: Uncapacitated facility location (UFL) problems have received wide attention of many researchers over the past decade, particularly owing to their extensive applicability. While many exact and heuristic algorithms have been developed to solve the UFL problems, most of them cannot guarantee hit ratio (HR) and average relative percent error (ARPE). This paper presents the development of a hybrid heuristic combining stepwise allocation of facilities heuristic procedure with greedy search procedure …
Published in Journal of Production Research & Management · Vol. 2, Issue 1-2-3, 2012 · pp. 18–24 Read article
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Low-Power Design of Content Addressable Memory using Master Slave Match Line Architecture
Abstract: Content Addressable Memory (CAM) is a storage unit used for faster accessing of lookup table that reduces processing time for search operation. It is mainly used very-high-speed searching applications like computer networking devices. The MAC address table is implemented with a CAM so that the destination port can be easily detected by reducing the switch’s latency. CAM gets its high speed of operation by parallel search mechanism. This paper proposes …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 1, 2017 · pp. 29–34 Read article
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Customized Web Crawler Utilizing Metaphysics
Abstract: AbstractDynamic-Searching is one of the usually utilized assignments on the web. Web crawlers are the fundamental apparatus of the web, from which related data can be gathered by the indicated question or catchphrase given by the client, and are to a great degree prominent for repetitively utilized destinations. With the surprising improvement of the World Wide Web (WWW), the data look has become a noteworthy business fragment of a worldwide, …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 9–18 Read article
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Pattern Recognition Using Hybrid Meta-Heuristic
Abstract: Abstract—In this paper, two optimization algorithms i.e., Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are combined to produce a hybrid population-based algorithm PSOGSA. The approach of HPSOGSA is to use the assessment of PSO using the social thinking capability and the manipulation of GSA using the local search proficiency. To increase the performance of HPSOGSA, some benchmark functions are used. Two standard database ORL and YALE is used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 100–108 Read article
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Parallelization of Metaheuristics for the Optimization of Travelling Salesman Problem
Abstract: Travelling salesman problem is a combinatorial NP-Hard Problem. It has vast number of applications in many other fields like engineering, transportation and logistics. In the area of combinatorial Optimization Problems, it is one of the most studied problem. This Problem is acting as benchmark for many other NP-Hard Problems. Even for 20 cities CPU’s takes 100’s of years to get the optimal solution. So, for computing NP-Hard problems we require …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 20–26 Read article