Speech signals contain a lot of information that can be used by computers to gain insight into a user's state, such as emotion recognition and depression prediction. Numerous applications exist, ranging from customer service to depression prevention. We propose several deep-learning-based methodologies for detecting emotion and depression in th

This research aims to shed lights on the different types of marriage prevalent among the ethnic Somalians living in Kenya and describe their concepts to understand the extent of their conformity or non-conformity with the terms and conditions of a valid marriage in Sharīʽah. Additionally, it discusses the related views and proofs of the jurists.

Living with morbid obesity is challenging since it affects various dimensions of life. Sustainable weight loss via bariatric surgery helps people suffering from morbid obesity to lead a healthy and meaningful life. This study highlights the challenges before bariatric surgery and the impact on one’s life. A phenomenological approach was employed

This research paper seeks to examine selected writings of the seventeenth century Ottoman Caliphate on Sufi Majālis as a traditional way of writing Tafsīr, where conversations were held in the form of explanations of verses during the sermons. The aim of this study is to explore the Sufi Majālis style of Tafsīr as a method of guiding the people

Achievement motivation is a very important element in students’ academic success (Steinmayr et al., 2019). This is especially true at the postgraduate level when students are expected to work independently on research projects. The purpose of the present research was to examine how psychological well-being, social adjustment and social responsibi

Agriculture can be transformed into smart agriculture due to the advanced wireless network and the Internet of Things (IoT). As the human population increases, so does the demand for crops. With real-time monitoring, a smart agriculture system’s awareness of soil moisture measurement, humidity, and environmental temperature will increase food sec

Due to the complexity of its system and the numerous advantages of its implementation, video emotion identification is a popular area of study today. There have been multiple ways implemented. In this project, emotion recognition in videos will be performed using deep learning. The model will include initialization, feature extraction, emotion cate

Today, the rapid development of deep learning offers an extraordinary opportunity to enhance the performance and efficiency of various industries, including business, the military, medicine, and transportation. Using deep learning algorithms in the transportation industry, for instance, makes UAVs vital and efficient in this industry. Current Unman

Free Space Optical (FSO) has a very good potential alternative solution to Radio Frequency (RF) to provide high terrestrial wireless communication. In tropical region, the only drawback of FSO is atmospheric attenuation due to mainly haze and rain. This study investigates the performance of FSO system over link distances that ranges between 9 km to

As world shift to a world with green and high technology, it is a challenge for the people to find alternative carbon source for the EDLC electrode. Agro waste can be a good alternative in the producing carbon source raw materials in electrode preparation. This study aims to synthesize the durian waste as the alternative carbon electrode in the ele