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1967 articles for “Al 7075 + 7.5%SiC” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Mining WebLog Data Using Enhanced Map-Reduce Based SOM Algorithm
Abstract: Web utilization mining is a procedure for finding client route designs in web server to get web log data. These route designs are additionally scrutinized by different information mining strategies. The found route instances can be further used to recognize the successive transactions of the client, foreseeing the future demand of client, and so on which very much essential due to enormous developments in electronic trade sites.Through a colossal measure …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 2, 2018 · pp. 10–17 Read article
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Fuzzy based Hybrid Genetic Algorithm for Efficient Cloud Job Scheduling
Abstract: AbstractThese days enterprises need to keep up a lot of uses getting to buy a large number of clients everywhere over the world. Keeping up their own foundation, overseeing programming prerequisites, and taking care of exorbitant excessive internet is difficult. This makes them move towards cloud computing. Cloud computing is a service provisioning strategy where clients can lease any assets like equipment, programming, or stage to build up an application. …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 1, 2021 · pp. 6–16 Read article
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Review of SHA-1 Encryption Algorithm
Abstract: In the security world, encryption is the popularly known method for protection and safety of data. Digital signature and message authentication are the widely known applications of hashing that require the hash value calculation. Sha-1 is amongst the most trusted algorithms for calculating hash values. Sha-1 takes any size of input and yields fixed size hash value of 160 bits after going through 80 rounds. Belonging to MD4 family sha-1 …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 3, 2016 · pp. 1–4 Read article
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An Improved K-means Clustering Algorithm for Classification of Odor/Gas Sensor Data Using Normalized Cosine Distance Parameter
Abstract: This paper presents a novel approach of K-means Clustering for classification of odors/gases (E-nose) using cosine distance as a distance parameter. A sensor array constituting five sensors is exposed to four different types of gases to extract data. The problem of classifying the data into respective classes in considered as a K-means Clustering task. To quantify the amount of similitude between the data corresponding to same classes; usually euclidean distance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 56–60 Read article
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A Review Paper on Las Vegas and Monte Carlo Algorithms
Abstract: Abstract: A randomized calculation is a calculation that utilizes a level of irregularity as a feature of its rationale. The calculation ordinarily utilizes consistently irregular bits as an assistant contribution to manage its conduct, in the expectation of accomplishing great execution in the "normal case" over every conceivable decision of arbitrary bits. Formally, the calculation's execution will be an irregular variable controlled by the arbitrary bits; in this manner, either …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 3, 2019 · pp. 1–4 Read article
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A Technical Review on Intrusion Detection System with Various Machine Learning Algorithms in Data Mining
Abstract: With the progression in information & communication technology (ICT), it has become a vital element of human’s life. But this technology has brought a lot of threats in cyber world. These threats increase the chances of network vulnerabilities to attack the system in the network. To evade these attacks there are distinct ways in which one is Intrusion-Detection System (IDS). IDSs are software or hardware products that automate this monitoring …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 1–8 Read article
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Round Robin Scheduling Algorithm using Time Quantum
Abstract: Booking is a most imperative errand of working framework capacity. Pretty much all PC assets are booked before utilization. CPU planning is the principle undertaking of multimodified working frameworks. By exchanging the CPU among courses of action, the working framework can make the PC all the more successfully [1]. The CPU is one of the essential PC assets so its planning is key to working framework plan. In a straight …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 1, 2015 · pp. 22–25 Read article
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Speech Hiding in a Digital Image using DWT and DES Algorithm
Abstract: AbstractThe proposed paper presents a speech hiding technique in a digital image (DI). Here the technique used is Discrete Wavelet Transform (DWT). It secures speech signal from unauthorized users. It can be done by embedding speech into an image by steganography. Thus, unauthorized users will not detect secret speech in stego image. Suppose unauthorized users detect the speech that will be fraud because no one can obtain speech signal without …
Published in Journal of Open Source Developments · Vol. 4, Issue 2, 2017 · pp. 13–18 Read article
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Fuzzy Keyword Search over Encrypted Data in Cloud Computing using String Matching Algorithm
Abstract: AbstractAs cloud computing ends up plainly overarching, over and extra sensitive information square measure being incorporated into the cloud. In spite of the fact that antiquated accessible encoding plans empower a client to immovably seek over scrambled learning through catchphrases and by choice recover records of premium, these systems bolster exclusively exact watchword look. Amid this paper, for the most vital time, we have a tendency to celebrate and explain …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 2, 2017 · pp. 8–12 Read article
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CPU Scheduling Algorithm
Abstract: AbstractIn this time, the most vital assets of PC are CPU. With the in-wrinkling number of use, there exist a substantial number of procedures in the PC framework in the meantime. Numerous procedures in framework at the same time raise a testing condition of man-aging the CPU in such a way, to the point that the CPU use and procedures execution gets ideal performance. The world is as yet sitting …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 3, 2017 · pp. 1–5 Read article
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Discrete and Continuous Indices
Abstract: Sum or integrals over discrete or continuous topological indices respectively. An analytic formalism is developed for the spectrum of discrete indices that can be completed into a continuum and continuous indices.Cite this ArticleSimon Davis. Discrete and Continuous Indices. Research & Reviews: Discrete Mathematical Structures. 2015; 2(2): 25–37p.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 2, 2015 · pp. 25–37 Read article
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Parallelizing Mutations for Genetic Algorithm
Abstract: In the present work, the author has implemented the mutations crossovers of genetic algorithm (GA) over a parallelism environment. This attempt will enable us collect data to build a framework for shared parallelism for the solution of equations in the same verifiable computational time. The data indicate towards the better implementation of a larger computational problem in the parallelized for the better solution in the verifiable execution time.Keywords: Genetic algorithm, …
Published in Recent Trends in Parallel Computing · Vol. 1, Issue 3, 2014 · pp. 7–9 Read article
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Enhanced Association Rule Mining Algorithm (EARMA) for Reducing Computational Time on Large Data Set
Abstract: Association rule learning is a trendy process for discovering exciting relationships between variables in big database. It is frequently used in market basket analysis field e.g. if a buyer buys onions and potatoes then he also purchases beef. But, in fact, it can be implemented in different application area where we want to determine the association among variables. The APRIORI method is definitely the trendiest. But, even with its good …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 20–25 Read article
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Diabetes Mellitus Prediction and Classification with a Randomizable filtered Classifier Ensemble Algorithm of the K-Nearest Neighbor
Abstract: Diabetes is a chronic and life-threatening condition caused by high levels of sugar glucose in the blood, which primarily affects the elderly in all societies. This has become a huge global health issue. Patients, diseases, causes, and medical services are all collected in vast amounts by medical care systems and hospitals. Diabetes has been the subject of numerous studies aimed at detecting and preventing the disease. This study presents an …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 43–58 Read article
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Diagnosing Pneumonia from Chest X-rays Using Deep Learning Algorithms Through Convolutional Neural Network, Transfer Learning and Fine Tuning
Abstract: Pneumonia is an inflammatory condition of the lungs that induces air sacs which leads to a contagious infection of lungs. Patients who are afflicted with the virus can be saved from death and the virus can be eradicated from spreading further through effective diagnosis. X-rays of the chest are frequently used to diagnose pneumonia. Detecting pneumonia from a Chest X-ray is typically slow and inaccurate. It is essential to identify …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 8–16 Read article
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A Systematic Review for Heart Disease Prediction Using AIML Algorithms
Abstract: Cardiovascular diseases (CVDs), commonly known as heart diseases, have consistently held the position of being the primary global cause of mortality for many years. They are also the most serious illness in India and the rest of the world. So, a method that is reliable, accurate, and easy to use is needed to find these diseases early and start the right treatment. Using a variety of medical datasets, machine learning …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 53–61 Read article
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OPTIMIZATING FUSION ZONE GRAIN SIZE, HARDNESS AND TENSILE STRENGTH OF MICRO PLASMA ARC WELDED TITANIUM ( Ti-6Al-4V) ALLOY USING GREY RELATIONAL ANALYSIS
Abstract: In the present work, Titanium (Ti-6Al-4V) alloy sheet of 0.5 mm thick is butt welded using Micro Plasma Arc Welding. Welding input parameters like peak current, base current, pulse rate and pulse width are considered and output responses like fusion zone grain size, hardness and ultimate tensile strength of the welded joint are considered. Taguchi L25 orthogonal matrix is adopted by considering four factors and five levels of weld input …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 Read article
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Influence of Process Parameters on Temperature Distribution and Microstructure of Friction Stir Welded Magnesium Alloy
Abstract: Abstract The effect of processing parameters on temperature distribution and microstructure was evaluated after friction stir welding of AZ31 magnesium alloy plates. Temperature distributions were recorded using thermocouples inserted into the drilled holes. Microstructures of the specimens were evaluated using optical microscopy and grain size and other factors were measured. Microhardness results were evaluated using Vicker’s micro hardness tester. Microstructure results revealed that grain size was reduced and grain structure …
Published in Journal of Thermal Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 27–33 Read article
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Hardware Implementation of a Multistage Low Pass Sigma Delta Modulator
Abstract: The overall objective of this paper is to describe the design, simulation and observation of the hardware implementation of a multi stage low-pass sigma delta modulator on FPGA architecture using modelsim. The objective of this paper is shown first by describing a low-pass multistage for D/A sigma delta modulator. The next step involves a detailed evaluation of various accumulator based MASH structures which is then modeled in MATLAB and SIMULINK …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 3, 2015 · pp. 13–21 Read article
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Experimental Evaluation of Environmental Friendly and Low Global Warming Refrigerants as an Alternative Option for Window Air Conditioning System
Abstract: This paper presents an experimental evaluation and performance comparison of window air-conditioning system with R-410A and R32 and to compare with HCFC-22 refrigerant. The base line test is performed with 2 “Ton of Refrigeration” (TR) capacities air conditioner, with evaporator temperature of 7.2 °C and condenser temperature of 54.4 °C. The coefficient of performance (COP) of the refrigerants R32, R22 and R410A are 3.81, 3.15 and 2.17 respectively simulated; it …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 1, Issue 3, 2014 · pp. 7–13 Read article