18 hasil untuk machine learning
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Artikel Jurnal
SENTIMENT ANALYSIS: AN ENHANCEMENT OF ONTOLOGICAL-BASED USING HYBRID MACHINE LEARNING TECHNIQUES
With the fast development of World Wide Web 2.0 has resulted in huge number of reviews where the consumers share their opinion about a variety of products in the websites, forum and social media such as Twitter and Instagram. For the organizations, they have to analyze customer's behavior to find…
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ANALYSING THE ROLE OF DRIVER BEHAVIORS IN ROAD TRAFFIC ACCIDENTS: AN APPLICATION OF MACHINE LEARNING
Continuous innovations are taking place worldwide to develop solutions for problems encountered by human beings. The prevention of a variety of accidents due to burning, drowning, terrorism, electric shocks, and road traffic is among the important concerns of researchers and solution developers…
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Artikel Jurnal
PULSE (Predictive Utility for Learning Systems in Evaluating Anemia and Hypertension):A Photoplethysmography (PPG) And Machine Learning–Based Device for Non-Invasive Monitoring of Hb, HR, SpO2, and BP
Anemia and hypertension remain prevalent health concerns in low-resource communities with limited diagnostic access. This study developed PULSE, a portable, non-invasive screening device using photoplethysmography and multiple linear regression to estimate hemoglobin, blood pressure, oxygen…
Dari koleksi institusi
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Artikel Jurnal
Can Machine Translations Translate Humorous Texts?
Machine translation (MT) have attracted many researchers’attention in various ways. Although the advanced of technology brings development to the result of MT, the quality are still criticized. One of the texts that has great challenges and translation problems is humorous text. Humorous texts that…
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Learning Analytics for Predicting Student Performance in Online Learning Environments
The fast‑growing numbers of the online learning space have led to the storage of huge amounts of student interaction data in Learning Management Systems (LMS). However, educational institutions often lack systematic systems to use such data to help identify students who are at risk of future…
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Artikel Jurnal
AN ENSEMBLE FEATURE SELECTION METHOD TO DETECT WEB SPAM
Feature selection is an important issue in data mining, and it is used to reduce dimensions of features set. Web spam detection is one of research fields of data mining. With regard to increasing available information in virtual space and the need of users to search, the role of search engines and…
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Artikel Jurnal
Plant Assistant Application
The Plant Assistant Application is a comprehensive gardening application developed to cater to the needs of inexperienced plant enthusiasts. With limited knowledge and guidance available, newcomers often struggle to provide proper care for their plants, resulting in wasted time and effort. Existing…
Juga tersedia di: DOAJ
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Artikel Jurnal
CUSTOMER SENTIMENT ANALYSIS THROUGH SOCIAL MEDIA FEEDBACK: A CASE STUDY ON TELECOMMUNICATION COMPANY
…and efficiently responding to their customers. This study presents a machine learning approach to analyse how sentiment analysis detects positive and negative feedback about a telecommunication company’s products. Customer feedback data were taken from Twitter through Streaming API (Application…
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Artikel Jurnal
ORIENTATION AND SCALE BASED WEIGHTS INITIALIZATION SCHEME FOR DEEP CONVOLUTIONAL NEURAL NETWORKS
Image classification is generally about the understanding of information in the images concerned. The more the system able to understand the image contains, the more effective it will be in classifying desired images. Recent work has shown that the convolutional neural network (CNN) paradigm is…
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Artikel Jurnal
Development of MyCGPA for Early Predicting Students’ Academic Performance
One of the primary concerns in higher education is the early identification of underperforming students. To address this issue, the current study proposes the development of a system that would assist academic advisers and faculty management to identifying students at risk of low academic…
Juga tersedia di: DOAJ
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Artikel Jurnal
CORPUS DEVELOPMENT FOR MALAY SENTIMENT ANALYSIS USING SEMI SUPERVISED APPROACH
…development. The corpus is developed using the combination of lexicon and machine learning approach. The sentiment lexicon will be used to build the seed of training data from unlabelled data resources. In addition, sentiment emoticons are used to compare the accuracy of the lexicon-based approach…
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GLOBAL AND LOCAL CLUSTERING SOFT ASSIGNMENT FOR INTRUSION DETECTION SYSTEM: A COMPARATIVE STUDY
…traditional method such as firewall is important to secure the network. Machine Learning algorithm such as unsupervised learning and supervised learning is capable to solve the problem of classification in IDS. To achieve that, KDD Cup 99 dataset is used in experiments. This dataset contains 5…
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ARTIFICIAL INTELLIGENCE AS A COMMON HERITAGE OF MANKIND
Artificial intelligence technologies today employ techniques known as machine learning and deep learning, which apply datasets to a suitable mathematical or statistical technique known as an algorithm. This in turn produces a model that can be employed to predict an outcome, given a new set of data…
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EXTRACTION OF CONCEPT AND CONCEPT RELATION FOR ISLAMIC TERM USING SYNTACTIC PATTERN APPROACH
Ontology Learning is a semi automation step to learn ontology from text. The identification of a term become a prerequisite for all aspects of Ontology Learning. The Ontological Learning Layer is started by identifying terms, synonyms, concepts, hierarchical concepts, relationships and rules for…
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EXTENDED DISTRIBUTED PROTOTYPICAL FOR BIOMEDICAL NAMED ENTITY RECOGNITION
…explores different effective word representations with Support Vector Machine (SVM) to deal with the complex structures of biomedical named entities. First, this paper identifies and evaluates a set of morphological and contextual features with SVM learning method for Bio-NER. This paper also…
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Cabaran serta Masa Depan Bahasa dan Persuratan Melayu Mengharungi Era Kecerdasan Buatan (AI)
…keterbatasan korpus data berbahasa Melayu dalam model pembelajaran mesin (machine learning), dan kekangan infrastruktur teknologi tempatan dalam menyokong pemprosesan bahasa semulajadi (NLP) Melayu. Selain itu, kertas konsep ini turut meneliti implikasi sosiobudaya yang timbul hasil marginalisasi…