Ala Abdulsalam Alarood's research while affiliated with Universiti Teknologi Malaysia and other places

... Furthermore, the robustness of an underwater network is important to guarantee the availability of data. Motivated by this necessity, a routing protocol is presented, named Efficient Void Aware (EVA), to detect the void nodes and suppress them from the eligibility to forward data packet [42]. The general idea is similar to the "ping" command used to check connectivity between two end devices over a network. ...

... It is also possible to mention various studies focusing on exciting issues such as ethnic restaurant experiences (Ingerson and Kim, 2016), robotic restaurant experiences (Seyitoglu and Ivanov, 2020), vegetarian restaurant experiences (Nilashi et al., 2021) and halal restaurant experiences (Hossain et al., 2022). Although researchers have conducted some exciting research on food experiences, there is still a gap in the literature on how tourists evaluate their experiences related to the unique cuisines of a particular region and certain types of restaurants. ...

... In recent years, the use of data science and analytics for improving service systems has increased with data proliferation (Karami et al., 2018;Yun & Geum, 2020;Nilashi et al., 2021). Specifically, many studies have shown the importance of user-generated content (UGC), such as online reviews and tweets, for improving customer satisfaction (Bastani et al., 2019), service quality (Srinivas & Rajendran, 2019;Korfiatis et al., 2019) , and product planning (Jeong et al., 2019;Ng & Law, 2020). ...

... Yadegarideh et al. [40] surveyed both academics and building industry workers. The authors proposed six different criteria, each with its sub-criteria. ...

... Finally, the features of the attention and feature interweave modules are combined to create a more accurate In addition, to perform evaluation, the ROC curve [37,38], which plots the TP rate as a function of the FP rate, is used. e ROC graph is constructed with TP rate on the yaxis and FP rate on the x-axis. ...

... The LSTM with the CBOW model achieves the highest accuracy of 94% in recognizing disease-infected people from tweets about disease outbreaks on online social networking sites (OSNS) (Amin et al. 2020). Colloquial phrases are collected from tweets available on OSNS using BERT embedding, and the model achieves an accuracy of 89.95% in categorizing health information. ...

... In terms of agricultural and natural resource economics, a state-of-the-art proximal policy optimization (PPO) algorithm was adopted to derive alternating current optimal power flow solutions with operational constraints (Zhou et al., 2020b), and a novel DRL method combining deep deterministic policy gradient (DDPG) principles with a prioritized experience replay (PER) strategy was developed to solve the examined electric vehicle pricing problem (Qiu et al., 2020). From the aspect of macroeconomics and monetary economics, health, education, and welfare, deep neural model of DRL, DQN and DDPG are used to recommend cryptocurrency trading points (Sattarov et al., 2020) and learn optimal policy for COVID-19 prevention (Uddin et al., 2020). Furthermore, some comparisons between DRL and other conventional methods present the best performance of the proposed DRL. ...

... Early diagnosis of Parkinson's disease is essential for the treatment of Parkinson's disease patients and existing literature is unable to devise a reliable method that can detect Parkinson's disease in its early stages. There are multiple factors to detect the presence of disease in a patient and existing models have limitations in contending with the multivariate characteristic of the dataset which leads to a high error rate in diagnosing Parkinson's disease [3][4][5][6][7]. ...

... In probability and statistics, the three-sigma rule states that approximately 99.73% of data following a normal distribution are located inside a range of three standard deviations from the mean [24]. ...

... The Internet of Things (IoT) is a rapidly expanding field of computer science in which every device, sensor, and object is assigned an IP address and connected to a smart device, allowing the tiny objects to collect data and communicate with other objects over the Internet as part of a larger network. Eventually, the Internet of Things (IoT) will be able to do unique and creative tasks without the need for or with minimal human participation [9][10][11]. Telemedicine, smart homes, smart vehicles, smart trains, smart offices, and a variety of other applications will be possible as a result of the Internet of Things. ...