Search Results - "Alkhalifah, Tamim"

Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis by Saleh, Hager, Mostafa, Sherif, Alharbi, Abdullah, El-Sappagh, Shaker, Alkhalifah, Tamim

“…Sentiment analysis was nominated as a hot research topic a decade ago for its increasing importance in analyzing the people's opinions extracted from social…”
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A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns by Butt, Ahmad Hassan, Alkhalifah, Tamim, Alturise, Fahad, Khan, Yaser Daanial

“…Enhancers regulate gene expression, by playing a crucial role in the synthesis of RNAs and proteins. They do not directly encode proteins or RNA molecules. In…”
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Deep Learning Approaches for Detection of Breast Adenocarcinoma Causing Carcinogenic Mutations by Shah, Asghar Ali, Alturise, Fahad, Alkhalifah, Tamim, Khan, Yaser Daanial

“…Genes are composed of DNA and each gene has a specific sequence. Recombination or replication within the gene base ends in a permanent change in the nucleotide…”
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Dandelion Optimizer-Based Combined Automatic Voltage Regulation and Load Frequency Control in a Multi-Area, Multi-Source Interconnected Power System with Nonlinearities by Ali, Tayyab, Malik, Suheel Abdullah, Daraz, Amil, Aslam, Sheraz, Alkhalifah, Tamim

“…Frequency, voltage, and power flow between different control zones in an interconnected power system are used to determine the standard quality of power…”
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Optimized Fractional Order Integral-Tilt Derivative Controller for Frequency Regulation of Interconnected Diverse Renewable Energy Resources by Daraz, Amil, Malik, Suheel Abdullah, Azar, Ahmad Taher, Aslam, Sheraz, Alkhalifah, Tamim, Alturise, Fahad

“…The interconnection of renewable energy systems, which are complex nonlinear systems, often results in power fluctuations in the interconnection line and high…”
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BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling by Naseem, Ansar, Alturise, Fahad, Alkhalifah, Tamim, Khan, Yaser Daanial

“…BBPs have the potential to facilitate the delivery of drugs to the brain, opening up new avenues for the development of treatments targeting diseases of the…”
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An Intelligent Automated System for Detecting Malicious Vehicles in Intelligent Transportation Systems by Ashfaq, Tehreem, Khalid, Rabiya, Yahaya, Adamu Sani, Aslam, Sheraz, Azar, Ahmad Taher, Alkhalifah, Tamim, Tounsi, Mohamed

“…The exponential growth of intelligent vehicles(IVs) development has resulted in a complex network. As the number of IVs in a network increases, so does the…”
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Skin Cancer Disease Detection Using Transfer Learning Technique by Rashid, Javed, Ishfaq, Maryam, Ali, Ghulam, Saeed, Muhammad R., Hussain, Mubasher, Alkhalifah, Tamim, Alturise, Fahad, Samand, Noor

“…Melanoma is a fatal type of skin cancer; the fury spread results in a high fatality rate when the malignancy is not treated at an initial stage. The patients’…”
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Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations by Shah, Asghar Ali, Alturise, Fahad, Alkhalifah, Tamim, Khan, Yaser Daanial

“…The abnormal growth of human healthy cells is called cancer. One of the major types of cancer is sarcoma, mostly found in human bones and soft tissue cells. It…”
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DHU-Pred: accurate prediction of dihydrouridine sites using position and composition variant features on diverse classifiers by Suleman, Muhammad Taseer, Alkhalifah, Tamim, Alturise, Fahad, Khan, Yaser Daanial

“…Dihydrouridine (D) is a modified transfer RNA post-transcriptional modification (PTM) that occurs abundantly in bacteria, eukaryotes, and archaea. The D…”
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m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models by Suleman, Muhammad Taseer, Alturise, Fahad, Alkhalifah, Tamim, Khan, Yaser Daanial

“…1-methyladenosine (m1A) is a variant of methyladenosine that holds a methyl substituent in the 1st position having a prominent role in RNA stability and human…”
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RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features by Hassan, Arfa, Alkhalifah, Tamim, Alturise, Fahad, Khan, Yaser Daanial

“…To save lives from cancer, it is very crucial to diagnose it at its early stages. One solution to early diagnosis lies in the identification of the cancer…”
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Ensemble Learning for Hormone Binding Protein Prediction: A Promising Approach for Early Diagnosis of Thyroid Hormone Disorders in Serum by Butt, Ahmad Hassan, Alkhalifah, Tamim, Alturise, Fahad, Khan, Yaser Daanial

“…Hormone-binding proteins (HBPs) are specific carrier proteins that bind to a given hormone. A soluble carrier hormone binding protein (HBP), which can interact…”
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iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models by Suleman, Muhammad Taseer, Alturise, Fahad, Alkhalifah, Tamim, Khan, Yaser Daanial

“…Background Dihydrouridine (D) is one of the most significant uridine modifications that have a prominent occurrence in eukaryotes. The folding and…”
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Toward Holistic Energy Management by Electricity Load and Price Forecasting: A Comprehensive Survey by Mustafa, Kainat, Khan, Sajjad, Aslam, Sheraz, Herodotou, Herodotos, Ashraf, Nouman, Daraz, Amil, Alkhalifah, Tamim

“…Electricity load and price data pose formidable challenges for forecasting due to their intricate characteristics, marked by high volatility and non-linearity…”
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Early Size and Effort Estimation of Mobile Application Development by Mushtaq, Ziema, Alshmrany, Sami, Alturise, Fahad, Alkhalifah, Tamim

“…With the increased complexity in mobile applications, many challenges and issues emerged for the software project management team to develop mobile application…”
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A Numerical Approach for Solving Nonlinear Optimal Control Problems Using the Hybrid Scheme of Fitness Dependent Optimizer and Bernstein Polynomials by Laghari, Ghulam Fareed, Malik, Suheel Abdullah, Daraz, Amil, Ullah, Azmat, Alkhalifah, Tamim, Aslam, Sheraz

“…In this paper, a heuristic scheme based on the hybridization of Bernstein Polynomials (BPs) and nature-inspired optimization techniques is presented to achieve…”
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Improving thermal and hydraulic performances through artificial neural networks: An optimization approach for Tesla valve geometrical parameters by Du, Gang, Alsenani, Theyab R., Kumar, Jitendra, Alkhalaf, Salem, Alkhalifah, Tamim, Alturise, Fahad, Almujibah, Hamad, Znaidia, Sami, Deifalla, Ahmed

“…Customizing the configuration of Tesla valves should be adjusted to match the specific goals of the desired purpose. Channels with Tesla design have various…”
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Improving efficiency and optimizing heat transfer in a novel tesla valve through multi-layer perceptron models by Cheng, Peng, Jianjun, Xu, Kumar, Jitendra, Almujibah, Hamad, Elhosiny Ali, H., Alkhalifah, Tamim, Alkhalaf, Salem, Alturise, Fahad, Ghandour, Raymond

“…Over the past few years, the distinctive design and versatile applications of Tesla valves have captured considerable interest across diverse industries. In…”
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Hemolytic-Pred: A machine learning-based predictor for hemolytic proteins using position and composition-based features by Perveen, Gulnaz, Alturise, Fahad, Alkhalifah, Tamim, Daanial Khan, Yaser

“…Objective The objective of this study is to propose a novel in-silico method called Hemolytic-Pred for identifying hemolytic proteins based on their sequences,…”
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