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Ethical concerns about the applications of artificial intelligence in healthcare practices: an explanatory review
Published 2021“…It helped medical doctors’ interpretation of medical images that are designed to diagnose given illnesses, such as imaging practices of X-ray, MRI and ultrasound diagnoses. Though the use of artificial intelligence and machine-learning algorithms is rapidly growing in various healthcare practices with promising potentials, however the use of computer-generated applications in healthcare sector have raised certain ethical concerns about the safety and reliability of these applications. …”
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2
A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…The FCM nodes are a novel selection of kinematical factors. Genetic algorithm (GA) is then used to train the FCM to be able to replicate the decisional behaviors of the intelligent traveler. …”
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Thesis -
3
Auto raise hand in Microsoft teams (API/Extension)
Published 2023“…Artificial Intelligence focuses on developing intelligences of machines, by developing algorithms, machines are able to learn from data and patterns, even perform tasks that require human intelligence, such as visual perception, speech recognition, and decision-making. …”
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Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm
Published 2023Conference Paper -
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Overhead view based person counting using deep learning
Published 2022“…Third, the accurate tracking of each detected person is performed using the deep learning based tracking framework, known as DeepSORT. …”
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Final Year Project / Dissertation / Thesis -
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…Using ANNs for FSW gives an average percentage error of about 95%, but using metaheuristics refined it at an incrementally improved accuracy rate of about 2%. …”
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A technical perspective on integrating artificial intelligence to solid‑state welding
Published 2024“…Using ANNs for FSW gives an average percentage error of about 95%, but using metaheuristics refined it at an incrementally improved accuracy rate of about 2%. …”
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8
Ontology based approach to Fuzzy student model design
Published 2014“…ITS is a software system designed using artificial intelligent techniques (comprising of Fuzzy Logic, Neural-Networks, Bayesian networks, Ontology, Genetic Algorithms and Software Agents) to provide a personalized tutoring adaptable to each student based on his/her profile or characteristics. …”
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Diagnosis of breast cancer using case-based reasoning
Published 2012“…The objective for this thesis is to develop an intelligent decision support application for diagnosis of breast cancer using Case-Based Reasoning (CBR) algorithm for predict the class of cancer for patients. …”
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Undergraduates Project Papers -
10
A speech recognition system based on structure equivalent fuzzy neural network trained by firefly algorithm
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Working Paper -
11
Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…These are the popular algorithm for unsupervised learning, a machine learning method to analyse and cluster datasets. …”
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Undergraduates Project Papers -
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…When smart contracts are used to make decisions and conduct analytics with machine-learning algorithms, the results may be trusted and unquestioned. …”
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Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli
Published 2018“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. …”
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Thesis -
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. …”
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Book Section -
15
Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…When smart contracts are used to make decisions and conduct analytics with machine-learning algorithms, the results may be trusted and unquestioned. …”
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Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…In essence, a neural network is an attempt to mimic the extremely complex human brain system, which is building an artificial brain that is able to self-learn intelligently. On the other hand, an evolutionary algorithm is to simulate the biological evolutionary processes that evolve potential solutions in order to solve the problems or tasks by applying the genetic operators such as crossover, mutation and selection into the solutions. …”
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Artificial intelligence in sustainability reporting / Prof. Dr Corina Joseph
Published 2023“…Corina delivering her speech titled "AI and SDGs: Resource-Based View Perspective." In the speech introduction, various definitions of Artificial Intelligence (AI) were provided. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…The use of software-agent based middleware that is intelligent, enables the system to adapt to the ever changing in taste and preferences of users when predicting the buying intention, thus making the online marketing to be highly effective. …”
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Conference or Workshop Item -
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An Intelligence Technique For Denial Of Service (Dos) Attack Detection
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