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182 articles for “benchmarks”
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Stock Price Prediction Using Data Science Techniques
Abstract: This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article
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Imputing Missing Data Analysis in Web Service Quality Dataset for Improving QoS Prediction
Abstract: AbstractThe web services at present have countless options for similar tasks. This wide range in web services induce challenge to choose the best service among all available. QoS prediction is a key of the selection but it is very time-consuming affair. Any prediction strategy relies on accuracy and completeness of available data, especially in case of QOS Prediction. Feedback, throughput and response time are the major attribute that should not …
Published in Recent Trends in Programming languages · Vol. 6, Issue 2, 2019 · pp. 8–22 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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SMIFD-750: Social Media Image Forgery Detection Database
Abstract: Forgery images or manipulated images are spreading rapidly through popular social media such as Facebook, Twitter etc. Image forgery distorts the main part and uses misinformation and hides important parts of the original images. These threats are strongly evolving that many people are being victimized by these forgery images. This is having a detrimental effect on our society. An abundant number of Image Forgery Detection (IFD) methods are available, but …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 1–11 Read article
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Quantum Data Harmonization: Resolving Disparate Information Realms with AI-driven Data Science
Abstract: The proliferation of heterogeneous data structures across fragmented information systems hampers insights derivation necessitating harmonization methodologies reconciling multidimensional datasets for collective analytics. This article reviews quantum techniques leveraging qubit superposition for probabilistic data transformations as a novel data harmonization paradigm tailored for varied schemas commonly confronting interdisciplinary analyses spanning healthcare, finance and environmental domains. Hybrid quantum-classical algorithms and AI-based automation workflows hold promise coordinating dispersed data pools through learned mappings …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 34–38 Read article
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Visionary Fusion: Empowering Robot Sight with Model-driven Multi-band Enhancement
Abstract: Single image enhancement is crucial for improving visual quality in applications like robot vision. This study proposes a novel topic-model assisted multi-band image fusion method to enhance a single input image while preserving semantic information. The key innovation is using topic models for adaptive band fusion based on image content. Comparative experiments on benchmark datasets demonstrate that the proposed technique outperforms state-of-the-art methods in quantitative and qualitative evaluation. This study …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 11–19 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
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Class Imbalance Reduction and Training Data Selection for Cross Project Defect Prediction
Abstract: The research aims to predict errors in a targeted project using data from other projects. This project is named as the Cross-Project Defect Prediction (CPDP). There are a number of ways available to improve the predictable performance of CPDP models. However, there is no comparison of modern methods. Predictability facilitates the rational distribution of testing resources by detecting software modules that may be problematic before releasing products. If a project …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 3, 2022 · pp. 12–20 Read article
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Automatic Fake News Detection: A Review
Abstract: Misinformation has exploded in the last two decades with the development of digital technologies. The damage caused by it to social harmony, peace, social trust, justice, and democracy has increased the necessity of automatic identification of bogus news and intervention. As more and more content is being available, a person may not deliver much attention to a news piece and may assume it to be reliable just from reading headlines. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 1, 2023 · pp. 29–35 Read article
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Quantum Leaps: How Quantum Computing Shapes the Evolution of Artificial Intelligence
Abstract: Quantum computing leverages quantum mechanical phenomena to enable powerful new forms of computation. With the ability to dramatically exceed the capabilities of classical supercomputers on select complex problems, many researchers anticipate revolutionary impacts of quantum computing on a variety of fields, including artificial intelligence. This research proposal outlines an investigation analyzing the intersection of quantum computation and artificial intelligence. The key research questions explore how quantum algorithms and hardware may …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 7–17 Read article
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Adaptive Huffman Algorithm for Data Compression Using Text Clustering and Multiple Character Modification
Abstract: Adaptive Huffman algorithm is a popular data compression technique that creates a variable-length binary code for each symbol in a message. However, the original algorithm may not be efficient in compressing text data, particularly when dealing with long sequences of repeated characters. In this study, we propose a novel approach to enhance the compression ratio of the Adaptive Huffman algorithm by utilizing text clustering and multiple character modification. The proposed …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 30–40 Read article
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Aqua Search – A New Metaheuristic Modified Firefly Algorithm for Topology Optimisation of Continuum Structures
Abstract: Abstract The focus of the paper is to propose a new search algorithm which requires less computational effort to perform topology optimisation of continuum structures. The basic idea is based on performing underwater search operations by a group of divers in a school. This algorithm is named as Aqua Search (AS). The design domain here is compared to the water body. The AS algorithm is an improvement over the conventional …
Published in Journal of Offshore Structure and Technology · Vol. 3, Issue 3, 2016 · pp. 32–37 Read article
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Efficient Design of Pseudo-Random Pattern Generator with High Fault Coverage
Abstract: In this paper a comparative analysis of various test pattern generators is done in terms of power consumed .Testing is a crucial process in VLSI (Very-large-scale integration), not only it ensures proper functioning of the chip ,it also helps identify the common faults that occur as a part of VLSI fabrication. However, the power consumed during the testing process is nearly 40% higher than normal circuit operation. Various test pattern …
Published in Journal of Microelectronics and Solid State Devices · Vol. 1, Issue 1, 2015 · pp. 21–25 Read article
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A Comprehensive Analysis of The Advances in Green Buildings Sector
Abstract: The realization that much of the conventional, modern approaches to building construction are not sustainable over the long term is not new. As a consequence, the concept of green building is gaining importance in the present energy scenario and related environmental issues. This paper seeks to review the developments in the context of green buildings that have occurred in the past decade or so. These developments in turn are poised …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 3, 2015 · pp. 29–45 Read article
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Environmental Friendly Hybrid Electric Vehicle Design
Abstract: Promising mean of reducing emission and fuel consumption requires a hybrid electric vehicle (HEVs) powered by electric machines and an internal combustion engine (ICE). It is done without compromising the driving performances and vehicle functionality. This paper introduces the design of an environmental friendly hybrid electric car that combines gasoline engine and battery pack. The conventional gasoline and diesel-fueled vehicles are benchmarked by the fuel consumption benefitted by hybridization. The …
Published in Journal of Instrumentation Technology & Innovations · Vol. 6, Issue 2, 2016 · pp. 15–20 Read article
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Recurrent Neural Network Model for Signal Prediction in a LOCA Event
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 In this study, an artificial neural network (ANN) model with the Elman recurrent structure is developed to predict thermo-hydraulic signals in a loss of coolant accident (LOCA). In the prediction procedure, a few previous samples of a signal at the time of the accident are fed to the ANN and the output value of next time steps are estimated by the network output. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 13–24 Read article
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Numerical Investigation of Fluid Flow Inside A Rectangular Driven Cavity at Moderate Reynolds Numbers
Abstract: This work presents a numerical investigation of a 2-D incompressible driven cavity flow at moderate Reynolds numbers. Lid driven cavity is widely considered to be a benchmark problem because of its capability of displaying the cogency of different numerical schemes and easily analysing different fluid phenomenon in a simple geometrical arrangement. A steady numerical solution is determined using a pressure-based segregated algorithm; SIMPLE and the simulation is done in the …
Published in Journal of Aerospace Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 46–60 Read article
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Breast Cancer observation using Python
Abstract: Worldwide cancer growth confirms more than 2 million ladies determined to have breast cancer every year reflecting larger part of new cancer growth cases and related deaths, making it critical general wellbeing concern. However, luckily, it is likewise the treatable disease in its beginning phase. Early determination of breast cancer with opportune and powerful treatment administrations improves the visualization and endurance of patients. During grouping tumors, there are critical odds …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 7, Issue 3, 2020 · pp. 15–33 Read article
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Mechanical performance of polymer composites reinforced with natural fibers for reliable structural biomaterial
Abstract: AbstractHybrid nanocomposite that exploits the synergy between natural fibers (industrial jute) in nano-reinforced unsaturated polyester (UP) based polymer can lead to improved properties while maintaining environmental appeal. Reinforcement of the UP-based resin with natural fibers (industrial jute) permits to retain flexural strength and hardness without sacrificing modulus, while also improving tribological properties. The industrial jute reinforced UP matrix composites having different filler was fabricated by compression molding technique and the …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 9, Issue 3, 2018 · pp. 13–22 Read article
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Detection of Breast Cancer with Python
Abstract: Global cancer data confirms more than 2 million women diagnosed with breast cancer each year reflecting majority of new cancer cases and related deaths, making it significant public health concern. But fortunately, it is also the curable cancer in its early stage. Early diagnosis of breast cancer with timely and effective treatment services improves the prognosis and survival of patients. During classifying tumors, there are significant chances of error and …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 3, 2020 · pp. 5–22 Read article