Mosleh Hmoud Al-Adhaileh
King Faisal University
Human–computer interactionDeep learningStatistical classificationActive contour modelAlgorithmMachine learningCancerSupport vector machineData miningH&E stainRadiologyCellular trafficMathematics educationCellular networkArtificial intelligencePsychologyStatistical parameterRandom forestAdaptive neuro fuzzy inference systemWater treatmentCADRegion of interestMetric (mathematics)Region growingBiopsyE-learning (theory)BoredomNormalization modelKidney diseaseNoveltyScale (ratio)Tokenization (data security)Learning ManagementDiseaseWater qualityConfusionResource allocationStudent learningHuman animalUniversity levelMedical imagingPreprocessorSmoothingFeature (machine learning)Computer scienceMagnificationLinear regressionArtificial neural networkQuality of serviceFeature extractionBreast cancerMedical diagnosisGaussian filterBinary classificationDimensionality reductionMedicineFeature (computer vision)E-commerceIdentification (information)Real-time computingConvolutional neural networkDecision treeLocal binary patternsTeaching methodSegmentationRobotWater supplyRobustness (computer science)
8Publications
1H-index
5Citations
Publications 9
Newest
The evolution of cellular technology development has led to explosive growth in cellular network traffic. Accurate time-series models to predict cellular mobile traffic have become very important for increasing the quality of service (QoS) with a network. The modelling and forecasting of cellular network loading play an important role in achieving the greatest favourable resource allocation by convenient bandwidth provisioning and simultaneously preserve the highest network utilization. The nove...
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Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects approximately 10% of the world adult population. CKD is a disorder that disrupts normal kidney function. Due to the increasing number of people with CKD, effective prediction measures for the early diagnosis of CKD are required. The novelty of this study lies in developing the diagnosis system to detect chronic kidney diseases. This study assists experts in exploring preventive measures for CKD through early d...
2 CitationsSource
#1Fawaz Waselallah Alsaade (King Faisal University)H-Index: 3
#2Theyazn H. H. Aldhyani (King Faisal University)H-Index: 4
Last. Mosleh Hmoud Al-Adhaileh (King Faisal University)H-Index: 1
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In recent years, computerized biomedical imaging and analysis have become extremely promising, more interesting, and highly beneficial. They provide remarkable information in the diagnoses of skin lesions. There have been developments in modern diagnostic systems that can help detect melanoma in its early stages to save the lives of many people. There is also a significant growth in the design of computer-aided diagnosis (CAD) systems using advanced artificial intelligence. The purpose of the pr...
1 CitationsSource
#1Saleh Nagi Alsubari (BAMU: Dr. Babasaheb Ambedkar Marathwada University)
#2Sachin N. Deshmukh (BAMU: Dr. Babasaheb Ambedkar Marathwada University)H-Index: 5
Last. Theyazn H. H. Aldhyani (King Faisal University)H-Index: 4
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Online product reviews play a major role in the success or failure of an E-commerce business. Before procuring products or services, the shoppers usually go through the online reviews posted by previous customers to get recommendations of the details of products and make purchasing decisions. Nevertheless, it is possible to enhance or hamper specific E-business products by posting fake reviews, which can be written by persons called fraudsters. These reviews can cause financial loss to E-commerc...
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Artificial intelligence methods can remarkably reduce costs for water supply and sanitation systems and help ensure compliance with the quality of drinking and wastewater treatment. Therefore, modelling and predicting water quality to control water pollution has been widely researched. The novelty of the proposed system is presented to develop an efficient operation of monitoring drinking water to ensure a sustainable and friendly green environment. In this work, the adaptive neuro-fuzzy inferen...
7 CitationsSource
The COVID-19 pandemic poses an additional serious public health threat due to little or no pre-existing human immunity, and developing a system to identify COVID-19 in its early stages will save millions of lives This study applied support vector machine (SVM), k-nearest neighbor (K-NN) and deep learning convolutional neural network (CNN) algorithms to classify and detect COVID-19 using chest X-ray radiographs To test the proposed system, chest X-ray radiographs and CT images were collected from...
4 CitationsSource
1 CitationsSource
#1Ebrahim Mohammed Senan (BAMU: Dr. Babasaheb Ambedkar Marathwada University)H-Index: 1
#2Fawaz Waselallah Alsaade (King Faisal University)H-Index: 3
Last. Mosleh Hmoud Al-Adhaileh (King Faisal University)H-Index: 1
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ABSTRACT Breast cancer is one of the most common and deadly types of cancer that develops in the breast tissue of women worldwide. This is why researchers and experts are interested in developing a computer-aided diagnostic system (CAD) for diagnosing histopathological images of breast cancer. CAD has contributed to increasing the diagnostic accuracy of the biopsy tissue using eosin stained and hematoxylin images. Most CAD systems have used traditional methods to extract handcrafted features, wh...
2 CitationsSource
Last. Farkhana MuchtarH-Index: 3
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The traditional teaching approach in Malaysia is claimed to have caused boredom and potentially reduces students learning performance, and their abilities have been decreasing over the years, leading them into confusion and frustration. Through exhaustive observations made, it was found that a lot of higher institutions of education in Malaysia have not yet adapted learning management system (LMS) to improve students’ learning performance and interest. Based on the current and existing work revi...
1 CitationsSource