Ahmad MohdAziz Hussein

Umm Al-Qura University

This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. The proposed method introduces a better search space to find the optimal solution at each iteration. However, we proposed RSA-SS...

Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of the scientific and technological tools employed to combat the COVID-19 pandemic. This study assesses different uses and deployments of modern technology for combating the COVID-19 pandemic at various levels, such as image processing, tracking of disea...

Rambutan (Nephelium lappaceum L.) is a widely grown and favored fruit in tropical countries such as Malaysia, Indonesia, Thailand, and the Philippines. This fruit is classified into tens of different cultivars based on fruit, flesh, and tree features. In this project, five different rambutan cultivars classification models using deep learning techn...

Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most common tumor in both men and women worldwide. The early detection of KT has significant benefits in reducing death rates, producing preventive measures that reduce effects, and overcoming the tumor. Compared to the tedious and time-consuming traditional...

One of the fastest-growing fields in today’s world is data analytics. Data analytics paved the way for a significant number of research and development in various fields including medicine and vaccine development, DNA analysis, artificial intelligence and many more. Data plays a very important role in providing the required results and helps in mak...

The multiverse optimizer (MVO) is one of the most trending algorithms used nowadays. The searching space in MVO is restricted by the best solution only, leading to a poor searching domain, therefore, a long searching time. This paper proposes an improved multiobjective multi-verse optimizer (IMOMVO) as a novel population optimization technique to s...

Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. Computational Intelligence (CI) techniques have been recognized as effective methods in generating and optimizing renewable tools. The complexity of this variety of energy depends on its coverage of large sizes of data and parameter...

The current work aims to examine the effect of meteorological parameters as well as the temporal variation on the Burdur Llake surface water body areas in Turkey. The data for the surface area of in Burdur Llake was collected over throughout 34 years between 1984 and 2019 by Google Earth Engine. The sSeasonal variation in the water bodies area was...

Reviews at present, different machine learning techniques and algorithms have been applied for predicting significant factors of the Coronavirus Disease-2019 (COVID-19) such as the outbreak and diagnosis. In this study, the most accurate time series forecasting model, namely, the Autoregressive Integrated Moving Average (ARIMA) model is used to for...

Abstract— Multiple sequence alignment (MSA) is an alignment of three or more sequences. Ordinarily, sequences one above the other can produce the final alignment. This paper focuses on solving the Multiple Sequence Alignment (MSA) problem by using a Flower Pollination Algorithm (FPA) that is hybridised with the profile technique. The FPA is conside...

Abstract—In this paper, a flower pollination algorithm (FPA) for the multiple sequence alignment (MSA) problem has been proposed. The FPA is a nature-inspired metaheuristic algorithm based on the pollination process of flowers flowering plants. MSA is an alignment of three or more sequences. MSA is used in many applications such as protein structur...

The rapid increase of the biological data opens up new challenges for scientists to discover new methods to manage, analyses and understand them effectively. One of the methods in analysing these biological data is by looking at the maximal patterns that exists in the data. Discovering the relationship among the biological sequences is based on the...