The presence of fault(s) in any web services-based system threatens its performability and dependability at large. To ensure dependability in the presence of faults or failure, service-oriented systems are implemented on ...
Internet of Things (IoT) systems have gained huge popularity in the past decade. This technology is developing as a back boon from the day-to-day utility in smart homes to intelligent power grids. It has become ubiquitous ...
A great role played by the robots during the current pandemic. So far, they contributed a large effect on the medical sector. However, their valuable uses could be developed in many endeavors. Thus, this work involves the ...
Though the machine learning techniques were being used in Assamese Language Automatic Speech Recognition (ALASR) system over the last five years, but the applications of Convolutional Neural Network (CNN) are very limited ...
Abhulimen, V. Osekhonmen; Ogunti, O. Erastus(2022-10-31)
Age estimation has become very important for many organizations and human endeavour. Traditional machine learning methods have previously been deployed in previous times by many researchers to solve this problem automatically. ...
Ali, Saqib; Anwar, Waseem; Salem, Basim Juma; Al Dhuhlia, Mohammed(2022-10-31)
In recent years, blockchain technology has emerged and gained considerable attention due to its reliability and secure data sharing capabilities in various domains such as supply chain management, finance, the internet of ...
Deep learning techniques, particularly convolutional neural networks (CNNs), have led to an enormous breakthrough in the field of medical imaging. Since the onset of the COVID-19 pandemic, studies based on deep learning ...
A simpler statistical interference model for millimeter-wave (mmWave) cellular networks for use in 5G is proposed in this work. The accuracy of this model is examined in an outdoor cellular network with different scenarios. ...
In recent years, the popularity of the synthetic aperture radar (SAR) imaging system is growing exponentially. The SAR images are mainly used for the identification or classification of objects for various purposes. The ...
Babu, G Stalin; Rao, S.N.Tirumala; Rao, R Rajeswara(2022-10-31)
The most common type of dementia is Alzheimer’s disease (AD). It is critical to identify the AD at the stage of Mild Cognitive Impairment (MCI) in early. If it is possible to early identification, then it has more chance ...
Fataniya, Aniruddh G.; Modi, Dr. Hardik P.(2022-10-31)
Human Activity Recognition (HAR) is a vital area of Computer Vision. HAR focuses on various activities carried out by humans. Information relative to the human activities is collected by smart sensors and wearable devices. ...
Modi, Harshadkumar S.; Parikh, Dr. Dhaval A(2022-10-31)
Automated crowd anomaly detection and crowd scene analysis is a novel and emerging field of computer science and engineering domain. The analysis of crowd behavior based on density, trajectory, and motion helps prevent ...
Ismail, Ajune Wanis; Aladin, Mohamad Yahya Fekri; Nor’a, Muhammad Nur Affendy(2022-10-30)
Augmented Reality (AR) is a technology that can combine real and virtual objects. Interaction is essential in AR, allowing the user to interact with a virtual object in the natural environment. There is various type of ...
Mahendar, A.; Chatrapati, Dr. K. Shahu(2022-10-30)
The security issues with cloud computing have seen very high growth in recent times. This growth is certainly due to the increase in usage and adaptation of cloud-based services. The benefits from the cloud-based services ...
Nowadays, as the number of smart devices is increasing, technologies like Radio Frequency Identification (RFID) and the Internet of Things (IoT) are playing a vital role in communicating among various smart devices which ...
With exponential growth of digital consumer purchasing behavior and the increasing implementation of IoT in retail industry, it has become imperative to provide secure, scalable, and manageable data models to the complex ...
K-mer (k length substrings in a DNA sequence) counting plays an important role in genome assembly, sequence analysis, and error correction in sequence reads. In the Gene data sets, a single occurrence of k-mers occupies ...
In an era of digitalization, a precise, accurate and portable feature is the prime concern of any gadget in the market. The accuracy of any design depends on supply variation, circuit methodology and environmental upshots. ...
The Internet of Robotic Things (IoRT) deals with autonomous objects such as robots and sensors together. It can be used for efficient patrolling and target tracking; however, mobile sensors (robots) must coordinate to ...
Zerihun, Bekele M.; Olwal, Thomas O.; Hassen, Murad R.(2022-09-30)
The exponential growth of smart gadgets connected to the Internet as well as diverse applications has escalated the spectrum scarcity problem. Cognitive radio based spectrum sensing technique becomes a potential approach ...