• Assessing the Performability of a Fault Tolerant Architecture for Web Services Solution Using Software Fault Injection 

  Oliha, Festus O. (2022-10-31)

  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 ...
• Challenges for Security in IoT, Emerging Solutions, and Research Directions 

  Reshi, Iraq Ahmad; Sholla, Sahil (2022-10-01)

  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 ...
• Smartly Control, Interface and Tracking for Pick and Place Robot Based on Multi Sensors and Vision Detection 

  Karam, Zeyad A.; Saeed, Elaf A. (2022-10-31)

  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 ...
• Assamese Speech-based Vocabulary Identification System using Convolutional Neural Network 

  Dutta, Dipankar; Choudhury, Ridip Dev; Barman, Utpal (2022-10-31)

  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 ...
• Automatic Age Estimation of Persons with Dark Skin Tone Using Deep Learning Approach 

  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. ...
• Tracing Pharmaceutical Products Utilizing Blockchain Technologies 

  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 ...
• Medical Image Augmentation Framework for Resolving Chest X-Ray Data Imbalance 

  Sethi, Rachna; Mehrotra, Monica; Sethi, Dhaarna; Mehrotra, Gaurang (2022-10-31)

  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 ...
• Stochastic Modeling of Interference in 5G mmWave Cellular Networks 

  Banday, Yusra; Begh, Gh. Rasool; Rather, Ghulam Mohammad (2022-10-31)

  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. ...
• A New Synthetic Aperture Radar (SAR) Image Classification Framework Model using SAR Despeckling 

  Kumar, Bibek; Ranjan, Ranjeet Kumar; Husain, Arshad (2022-10-31)

  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 ...
• Alzheimer’s disease Prediction by Hybrid CNN and SVM Classifier with Metaheuristic Approach 

  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 ...
• Comprehensive Analysis of Deep Learning-based Human Activity Recognition approaches based on Accuracy 

  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. ...
• A Survey on Crowd Anomaly Detection 

  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 ...
• Real Hand Gesture in Augmented Reality Drawing with Markerless Tracking on Mobile 

  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 ...
• Detection and Prevention of Cyber Attacks on Cloud-Based Data Centers using Machine Learning 

  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 ...
• High Throughput Efficient Implementation of Grain v1, Lizard and Plantlet Stream Ciphers for Resource Constraint Devices 

  Gill, Vinod Kumar; Chenna, Ravi Teja; Kandula, Naveen Kumar; Sharma, Kumar (2022-10-30)

  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 ...
• Design and Deployment of IoT enabled Blockchain based resilient Supply-chain Management System using Ethereum 

  Mishra, Ayaskanta; Karmakar, Sayan; Dutta, Ankita; Bose, Ankush; Mohapatro, Manaswini (2022-10-30)

  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 ...
• Performance Improvement of K-mer counting in DNA Sequence using Cache efficient Bloom filter and recursive hash function 

  Prakasam, Elakkiya; Manoharan, Arun (2022-10-30)

  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 ...
• Design of Compensated Supply Circuit Topology for a Ring Oscillator 

  Mishra, Vivek; Yadav, Anurag; Wairya, Subodh (2022-10-30)

  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. ...
• A Decentralized Coordination Algorithm for Patrolling and Target Tracking in Internet of Robotic Things (IoRT) using Dynamic Waypoints and Self-triggered Communication 

  Verma, Janardan Kumar; Ranga, Virender (2022-10-01)

  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 ...
• Energy Efficient Cooperative Spectrum Sensing with Energy Harvesting for Optimal Node Selection and Channel Access in Cognitive IoT Networks 

  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 ...

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