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1180 articles for “reinforce”
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Machine Learning Approaches for Intelligent Network Traffic Management in 6G
Abstract: The increasing adoption of smart devices, Internet of Things (IoT) technologies, cloud-based services, autonomous applications, and multimedia platforms has greatly enhanced the demands and complexity of modern wireless communication networks. To meet these evolving requirements, upcoming sixth-generation (6G) communication systems are anticipated to deliver extremely high data transmission speeds, support a vast number of connected devices, ensure minimal communication delays, enable intelligent network management, and provide seamless real-time connectivity for …
Published in Journal of Communication Engineering & Systems · Vol. 16, Issue 2, 2026 · pp. 19–32 Read article
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Polymer Chemistry and Nanocomposite Network Design of PEGDA-Based Hydrogels
Abstract: The chemical structure and crosslinking density of polyethylene glycol diacrylate (PEGDA) can be systematically tailored, making it a versatile polymeric network in biomedical engineering, drug delivery, tissue engineering, biosensing and advanced manufacturing. PEGDA is a polymerizable acrylate-functionalized hydrophilic PEG that can be polymerized to make three-dimensional networks via free-radical polymerization, specifically photoinitiated. The resulting network architecture depends on the PEGDA molecular weight, the concentration of precursors, the polymerization conditions, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Review Paper for Different Techniques Using Image Enhancement
Abstract: AbstractImage enhancement (IE) performs a basic position in vision purposes. Lately, plenty of work has been carried out in the discipline of IE. Many tactics have already been proposed until now for reinforcing the digital pictures. This paper has presented a comparative analysis of quite several IE methods. This paper has proven that the fuzzy logic (FL) and histogram founded tactics have fairly amazing outcome more than the obtainable systems. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 27–32 Read article
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Automatic Text Summarization – A Review
Abstract: ABSTRACT We present Encoder/Decoder a unique methodology for summarization of text documents. The summarization of text is to be done in two forms one is abstractive and the other one is extractive. Summarization of text is a main job of natural language processing. With the help of new idea we make a unique amalgam model of abstractive-extractive to combine BERT(Bidirectional Encoder Representations from Transformers). Firstly we transform the summaries which …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 22–27 Read article
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Analysis of Various Diabetes Prediction Techniques Based on Machine Learning
Abstract: AbstractData mining is a method of mine from the underdone data for maintains useful information. In organize to obtain fundamental knowledge it is important to remove bulky quantity of data. This method is consist of many important components like data cleaning, data selection, data integrity, pattern evaluation with data mining engine and database with graphical user interface. Diabetes is a chronic disease that is also known as Non‐Insulin Dependent Diabetes …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 17–22 Read article
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A Life of Networking TCP/IP
Abstract: AbstractEvery one of us who utilize a Unix desktop framework; engineers, instructors, researchers, and agents, have second professions as Unix framework chairmen. Organizing these PCs gives us new undertakings as system directors. Organize organization and framework organizations are two distinct occupations. Framework organization assignments, for example, including clients and doing reinforcements are separated to one autonomous PC framework. This is not so with system organization. When you put your PC …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 3, 2016 · pp. 5–10 Read article
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Automated Sorting of Municipal Solid Waste Using Robotic Arm
Abstract: Abstract: The main idea behind the paper is the segregation of municipal solid waste (MSW) by developing a manipulation system for automated sorting of useful recyclables which includes aluminum cans, plastic bottles, and tetra packs. The system is equipped with a thermal imaging camera, proximity sensor and a 5-DOF (degree of freedom) robotic arm. The sorting is based on automated identification of thermographic images. The supervised machine-learning algorithm is used …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 3, 2019 · pp. 5–8 Read article
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Blockchain-based Privacy-preserving Data Sharing in Healthcare Systems
Abstract: Healthcare systems contain expansive yet fragmented sensitive data necessitating secure consolidated access mechanisms respecting patient consent preferences continually. This research develops a decentralized blockchain framework orchestrating granular authorization using cryptography while demonstrating efficacy via clinical implementations optimizing cancer diagnostics through aggregated genome analysis otherwise prohibited under isolated datasets. Comparative benchmarking against traditional database models evaluates correctness, interoperability, and auditability improvements using multiparty endorsement affirming consented transactions. Quantified metrics guide technology …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 28–34 Read article
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A Taxonomy of Machine Learning Techniques
Abstract: Learning is any process by which a system improves performance from experience. Training a model simply means learning (i.e., determining) good values for all the weights and therefore the bias from labeled examples. Machine learning (ML) is a sub-field of artificial intelligence that creates machines which exhibits learning capability and improve their performance from experience without being explicitly programmed. ML focuses on the creation of computer programs that can access …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 18–25 Read article
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Empowering Machine Learning: Unraveling Algorithms, Real-world Use Cases, and Evolving Research Trends
Abstract: Machine learning has brought about a revolutionary transformation across numerous industries, offering automated solutions to intricate problems. This article aims to delve into the realm of machine learning algorithms, exploring their real-world applications and the evolving research directions in this rapidly advancing field. The paper presents a comprehensive overview of popular machine learning algorithms, encompassing supervised learning, unsupervised learning, and reinforcement learning, while elucidating the underlying principles that govern them. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 70–79 Read article
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Revolutionizing Software Engineering: Harnessing AI-driven Continuous Integration for Seamless Collaboration and Rapid Development
Abstract: In the dynamic landscape of software engineering, this paper introduces a revolutionary approach by integrating artificial intelligence (AI) into continuous integration processes. The research aims to redefine software development methodologies, leveraging AI-driven continuous integration (AI-CI) to enhance collaboration among development teams and accelerate software development cycles. The comprehensive study delves into the theoretical foundations and practical implications of AI-CI. The integration involves infusing AI algorithms into the continuous integration pipeline, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 45–60 Read article
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Achieving Multi-objectives Using a Single Neural Network
Abstract: Achieving multi-objectives using a single neural network is a research area that aims to develop techniques to optimize multiple objectives simultaneously using a single neural network. This approach can be applied in various fields, such as image and speech recognition, robotics, and natural language processing, to achieve better performance and reduce the complexity of the models. The key challenge in this area is to balance the trade-off between different objectives …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 3, 2022 · pp. 1–15 Read article
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Workability Behavior of Copper–Tungsten and Graphite Composites
Abstract: Workability is a measure of deformation that powder metallurgy materials can withstand prior to fracture occurring in the formation or upsetting process. Nowadays, copper-based sintered composites produced by powder metallurgy processes are widely used in bearings and bushes. Also composites based on copper–tungsten (Cu–W) composite containing a solid lubricant (Graphite) have been developed as self-lubricating materials under the conditions of load, atmosphere and temperature. However, it should be noted that …
Published in Trends in Machine design · Vol. 1, Issue 2, 2014 · pp. 42–52 Read article
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A Stress Distribution Model along the Tooth Mating Surface of a Non-Metallic Spur Gear using the Hertz's
Abstract: A low cost cement reinforced polymeric composite material is designed and developed for fabrication of non-metallic automotive components such as gear. 10 wt% cement fillers are mixed up with pure polypropylene and injection-molding process is followed to fabricate the composite gear. Several experiments have been conducted to study the composite gear failure mechanism and resulting stress distribution along the tooth contact surface. For this, experimental data are used and Hertzian …
Published in Trends in Machine design · Vol. 1, Issue 3, 2014 · pp. 50–58 Read article
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Experimental Investigation of Mechaniccal and Thermal properties of Pmyra bract fiber composite
Abstract: Ecological concerns have resulted in renewed interest in natural materials in terms of their industrial applications and fundamental research. Recyclability and environmental safety are becoming increasingly important to the introduction of natural materials and products. Petroleum based products such as resins in thermo set plastics are toxic and non- biodegradable. The resins and fibres used in green composites are biodegradable when they are dumped, decomposed by the action of microorganisms. …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 3, 2014 Read article
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Investigation of Mechanical Properties of Al356 Metal Matrix Composites
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE Nowadays there is a constant need for the improvement of properties of materials due to their ever increasing demands according to their applications because of those requirements all fields are concentrating on composite materials which are less weight to density ratios having high strength good hardness etc. based on that this paper deals with the fabrication and investigation of mechanical properties of …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 69–74 Read article
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Probabilistic Analysis of Fatigue Life of Polymer Concrete
Abstract: In this paper, probabilistic analysis of fatigue life of polymer concrete has been carried out with the intent to study its fatigue-life distributions using Weibull distribution. Three-point flexural fatigue tests were conducted on polymer concrete specimens of size 40 × 40 × 160 mm using MTS Servo-controlled actuator to obtain the fatigue lives at different stress levels. It has been observed that the probabilistic distribution of fatigue life of polymer …
Published in Journal of Experimental & Applied Mechanics · Vol. 4, Issue 3, 2013 · pp. 22–28 Read article
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Static Analysis of 4-Blade Marine Propeller
Abstract: Ships and underwater vehicles like submarine and torpedoes use propeller for propulsion. In general, propellers are used as propulsions and they are also used to progress significant plunge to propel the vehicle at its operational speed and RPM. Much has been said and published on the development of the marine propeller from the time of antiquity to the present age, but there is more to be done. This paper describes …
Published in Journal of Aerospace Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 8–21 Read article
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Modelling Initial Design of Steel Portal Frame using ANN
Abstract: Structural Engineering involves the understanding and modeling of natural phenomenon, material behavior and laws of mechanics, intuition, past experience or expertise and knowledge of analysis techniques. Especially in structural design, the difficulty in problem definition and the large number of constraints makes it difficult to program a machine for computerization of the total design process. The analysis of structure is performed based on the initial design and redesign of the …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 16–20 Read article
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The Temple of TQM (Total Quality Management)
Abstract: David Sloan Wilson Macrothink Institute, www.macrothink.org 12.00 Normal 0 false false false EN-GB X-NONE X-NONE God is omnipresent, yet the attempts to provide him a transit office space are made good in a temple. Similarly, “quality is everywhere,” while the approach to manage is attempted through total quality (TQ) philosophy. The devotees (practitioners) conform to daily management (cleanliness/piousness), demonstrate dedication and discipline in order to woo God (quality standards) to …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 2, Issue 2, 2012 · pp. 61–78 Read article