154 hasil untuk "- ADNAN"
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Artikel Jurnal Teks lengkap
Online learning amid the COVID-19 pandemic: Students perspectives
This research study examines the attitudes of Pakistani higher education students towards compulsory digital and distance learning university courses amid Coronavirus (COVID-19). Undergraduate and postgraduate were surveyed to find their perspectives about online education in Pakistan. The findings…
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Private 5G: The Future of Industrial Wireless
High-performance wireless communication is crucial to the digital transformation of industrial systems, which is driven by Industry 4.0 and Industrial Internet initiatives. Among the candidate industrial wireless technologies, 5G (cellular/mobile) holds significant potential. The operation of…
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Artikel Jurnal
IoT-Enabled Smart Energy Grid: Applications and Challenges
The Internet of Things (IoT) is a rapidly emerging field of technologies that delivers numerous cutting-edge solutions in various domains including the critical infrastructures. Thanks to the IoT, the conventional power system network can be transformed into an effective and smarter energy grid. In…
Dari koleksi institusi
- Mengabdi pada ilmu dan profesi sejarah Demi Daerah & bangsaGusti Adnan · 2008 · UNILAK
- Aplikasi data mining perekrutan karyawan menggunakan algoritma naive bayes di Pt.Riau andalan and Paper PekanbaruGovindo Adnan · 2022 · UNILAK
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A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain (BC) technologies have significantly enhanced…
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Artikel Jurnal Teks lengkap
Insights into the Interactions among Roots, Rhizosphere, and Rhizobacteria for Improving Plant Growth and Tolerance to Abiotic Stresses: A Review
Abiotic stresses, such as drought, salinity, heavy metals, variations in temperature, and ultraviolet (UV) radiation, are antagonistic to plant growth and development, resulting in an overall decrease in plant yield. These stresses have direct effects on the rhizosphere, thus severely affect the…
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COVID-19 lung CT image segmentation using deep learning methods: U-Net versus SegNet
BACKGROUND: Currently, there is an urgent need for efficient tools to assess the diagnosis of COVID-19 patients. In this paper, we present feasible solutions for detecting and labeling infected tissues on CT lung images of such patients. Two structurally-different deep learning techniques, SegNet…
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The Role of Machine Learning Algorithms for Diagnosing Diseases
Nowadays, machine learning algorithms have become very important in the medical sector, especially for diagnosing disease from the medical database. Many companies using these techniques for the early prediction of diseases and enhance medical diagnostics. The motivation of this paper is to give an…
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Classification Based on Decision Tree Algorithm for Machine Learning
Decision tree classifiers are regarded to be a standout of the most well-known methods to data classification representation of classifiers. Different researchers from various fields and backgrounds have considered the problem of extending a decision tree from available data, such as machine study…
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Machine Learning Applications based on SVM Classification A Review
Extending technologies and data development culminated in the need for quicker and more reliable processing of massive data sets. Machine Learning techniques are used excessively. This paper, therefore, attempts to deal with data processing, using a support vector machine (SVM) algorithm in…
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A Review on Linear Regression Comprehensive in Machine Learning
Perhaps one of the most common and comprehensive statistical and machine learning algorithms are linear regression. Linear regression is used to find a linear relationship between one or more predictors. The linear regression has two types: simple regression and multiple regression (MLR). This…
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Artikel Jurnal
Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques
Supply Chain Collaboration is the network of various entities that work cohesively to make up the entire process. The supply chain organizations’ success is dependent on integration, teamwork, and the communication of information. Every day, supply chain and business players work in a dynamic…
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A Review of Principal Component Analysis Algorithm for Dimensionality Reduction
Big databases are increasingly widespread and are therefore hard to understand, in exploratory biomedicine science, big data in health research is highly exciting because data-based analyses can travel quicker than hypothesis-based research. Principal Component Analysis (PCA) is a method to reduce…
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Alzheimer Disease Detection Empowered with Transfer Learning
Alzheimer's disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia. Many people die due to this disease every year because this is not curable but early detection of this disease can help restrain the spread. Alzheimer's is most…
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Artikel Jurnal
The role of nanoparticles in plant biochemical, physiological, and molecular responses under drought stress: A review
Drought stress (DS) is a serious challenge for sustaining global crop production and food security. Nanoparticles (NPs) have emerged as an excellent tool to enhance crop production under current rapid climate change and increasing drought intensity. DS negatively affects plant growth, physiological…
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Artikel Jurnal
Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics
Speech is essential to human communication for expressing and understanding feelings. Emotional speech processing has challenges with expert data sampling, dataset organization, and computational complexity in large-scale analysis. This study aims to reduce data redundancy and high dimensionality…
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Dump the “dimorphism”: Comprehensive synthesis of human brain studies reveals few male-female differences beyond size
With the explosion of neuroimaging, differences between male and female brains have been exhaustively analyzed. Here we synthesize three decades of human MRI and postmortem data, emphasizing meta-analyses and other large studies, which collectively reveal few reliable sex/gender differences and a…
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Load Forecasting Techniques for Power System: Research Challenges and Survey
The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding power to consumers. The demand of electricity can…
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Secure and robust machine learning for healthcare: A survey
Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniques due to their superior performance for a variety of healthcare applications ranging from the prediction of cardiac arrest from one-dimensional heart signals to computer-aided diagnosis (CADx) using…
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Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward
Connected and autonomous vehicles (CAVs) will form the backbone of future next-generation intelligent transportation systems (ITS) providing travel comfort, road safety, along with a number of value-added services. Such a transformation-which will be fuelled by concomitant advances in technologies…