Search Results - (( data implication machine algorithm ) OR ( data internalization _ algorithm ))

Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

“…The best algorithm will not be the same for all the data sets. …”
Get full text
Get full text

Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm by Abd Rahman, Mohd Shahrizan, Jamaludin, Nor Azliana Akmal, Zainol, Zuraini, Tengku Sembok, Tengku Mohd

“…The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
Get full text
Get full text
Get full text

Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry by Reddy, Guduru Ramakrishna, Singh, Harpreet, Domeika, Aurelijus, Manoj Kumar, Nallapaneni, Quanjin, Ma

“…In the present work, Two Heuristic Algorithms are modelled and the best algorithm among those two Heuristics is selected after few comparisons 3M to 5M, this can optimize the scheduling processes up to 10x10 jobs i.e. 10 machines and 10 jobs. …”
Get full text
Get full text
Get full text

Implementation of welch pre-processing in SVM algorithm for improved accuracy on EEG data by Hariyady Hariyady, Ag Asri Ag Ibrahim, Jason Teo, Muhammad Balya Firjaun Barlaman, Muhammad Aulanas Bitaqwa, Azhana Ahmad, Fouziah Md Yassin, Carolyn Salimun, Ng, Giap Weng

Get full text
Get full text
Get full text
Get full text

Application of machine learning and artificial intelligence in detecting SQL injection attacks by Md Sultan, Abu Bakar, Agiliga, Nwabudike Augustine, Osman, Mohd Hafeez Bin, Sharif, Khaironi Yatim

“…More recently, cyber-attacks have also been on the rise and SQL injection attacks are some of major threats to data security. AI and machine learning have come a long way, however their usage in cybersecurity is still somewhat nascent. …”
Get full text
Get full text
Get full text

Systematic review for phonocardiography classification based on machine learning by Altaf, Abdullah, Mahdin, Hairulnizam, Alive, Awais Mahmood, Ninggal, Mohd Izuan Hafez, Altaf, Abdulrehman, Javid, Irfan

“…This systematic review aims to examine the existing literature on phonocardiography classification based on machine learning, focusing on algorithms, datasets, feature extraction methods, and classification models utilized. …”
Get full text
Get full text

Systematic Review for Phonocardiography Classification Based on Machine Learning by Abdullah Altaf, Abdullah Altaf, Hairulnizam Mahdin, Hairulnizam Mahdin, Awais Mahmood Alive, Awais Mahmood Alive, Mohd Izuan Hafez Ninggal, Mohd Izuan Hafez Ninggal, Abdulrehman Altaf, Abdulrehman Altaf, Irfan Javid, Irfan Javid

“…This systematic review aims to examine the existing literature on phonocardiography classification based on machine learning, focusing on algorithms, datasets, feature extraction methods, and classification models utilized. …”
Get full text
Get full text

XAIRF-WFP: a novel XAI-based random forest classifier for advanced email spam detection by Bouke, Mohamed Aly, Alramli, Omar Imhemed, Abdullah, Azizol

“…Traditional machine learning algorithms such as Logistic Regression (LR), K-Nearest Neighbors (KNN), Decision Trees (DT), and Support Vector Machines (SVM) have been employed to mitigate this challenge. …”
Get full text
Get full text
Get full text

Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends by Neetu, Sharma

“…Employing a quantitative research design, data were gathered through surveys of 1,500 users of an Indian e-commerce platform. …”
Get full text
Get full text
Get full text
Get full text

A comparative analysis of machine learning algorithms for diabetes prediction by Alansari, Waseem Abdulmahdi, Masnizah Mohd

“…The methodology involves data collection, pre-processing, and training the algorithms using k-fold cross-validation. …”
Get full text
Get full text
Get full text

Accelerating color theory-based design through artificial intelligence: a conceptual welcome by Khairudin, Khayril Anwar, Yahaya, Mohamad Hafiz, Abdul Jamil, Siti Ermi Syahira, Rosli, Hazrul Marzan, Abu, Muhammad Badrulzzaman, Abd Rahman, Muh Sarip

“…However, the paper also raises critical questions about over-reliance on automation, potential erosion of creative intuition, and the ethical implications of delegating aesthetic decisions to machines. …”
Get full text
Get full text

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

Get full text
Get full text
Get full text

Innovating communication adaptation on social media using AI-based decision support systems by Zakaria, Noor Azura, Adriana, Dadi, Budi, Danang Surya, Mardiana, Mardiana, Rafika, Ageng Setiani, Asmawati, Ari

“…By integrating data riven insights and machine learning models, the system supports users in crafting adaptive and persuasive communication strategies that resonate with their network. …”
Get full text
Get full text
Get full text

Prediction of payment method in convenience stores using machine learning by Pratondo, Agus, Novianty, Astri, Pudjoatmodjo, Bambang

“…This study explores the application of machine learning techniques, specifically the Random Forest algorithm, to predict payment modes in the context of the Indonesian community. …”
Get full text
Get full text
Get full text

Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

“…The technology aims to analyse facial features in real-time, efficiently identifying key markers of drowsiness through computer vision techniques and machine learning algorithms. Leveraging Raspberry Pi as the camera component offers a portable and cost-effective solution suitable for various settings. …”
Get full text
Get full text

Drowsiness detection and alert system using face recognition with Raspberry Pi / Nur Syazwina Mohd Fadzalisham, Nor Adora Endut and Muhammad Nizamuddin Rosli by Mohd Fadzalisham, Nur Syazwina, Endut, Nor Adora, Rosli, Muhammad Nizamuddin

“…The technology aims to analyse facial features in real-time, efficiently identifying key markers of drowsiness through computer vision techniques and machine learning algorithms. Leveraging Raspberry Pi as the camera component offers a portable and cost-effective solution suitable for various settings. …”
Get full text
Get full text

Malware Classification and Detection using Variations of Machine Learning Algorithm Models by Andi Maslan, Andi Maslan, Abdul Hamid, Abdul Hamid

“…Types of attacks can be Ping of Death, flooding, remote-controlled attacks, UDP flooding, and Smurf Attacks. Attack data was obtained from the ClaMP dataset, which has an unbalanced data set, and has very high noise, so it is necessary to analyze data packets in network logs and optimize feature extraction which is then analyzed statistically with machine learning algorithms. …”
Get full text
Get full text
Get full text

Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion by Ahmed Osman A.I., Latif S.D., Wee Boo K.B., Ahmed A.N., Huang Y.F., El-Shafie A.

A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science by Balogun, A.-L., Tella, A., Baloo, L., Adebisi, N.

“…The study also revealed that machine learning algorithms such as random forest, gradient boosting machine, and classification and regression trees (CART) accurately predict air pollution hazard when integrated with spatial models. …”
Get full text
Get full text

Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions by Shamshad, H., Ullah, F., Ullah, A., Kebande, V.R., Ullah, S., Al-Dhaqm, A.

“…Thus, this proposed system employs a data science-based framework and six highly advanced data-driven Machine learning and Deep learning algorithms: Support Vector Regressor, Auto-Regressive Integrated Moving Average (ARIMA), Facebook Prophet, Unidirectional LSTM, Bidirectional LSTM, Stacked LSTM. …”
Get full text
Get full text