Recent Advances in Computer Science and Communications - Volume 15, Issue 6, 2022

IoT becomes more complicated due to its large size. The existing techniques of Wireless Sensor Networks (WSN) are not useful directly to the IoT; that is why using energyefficient schemes for the IoT is a challenging issue. Due to battery-constrained IoT devices, energy efficiency is of great importance. This paper gives an overview and broad survey on IoT, WSN in IoT, challenges in IoT and WSN, energy-conserving issues an Read More

Introduction: The goal of this study is to expand the diabetes decision-making framework through the advancement of computational intelligence. Several artificial network and machine- learning-based methods have been developed and validated, most of which are based on the Pima Indian dataset. So far, no method has reached an accuracy of 99-100%. Various tools such as Machine Learning (ML) and Data Mining are used Read More

Objective: The world is facing the pandemic of COVID-19, which has led to a considerable level of stress and depression in mankind as well as in society. Statistical measurements can be made for early identification of the stress and depression level and prevention of the prevailing stressful conditions. Several studies have been carried out in this regard. The Machine learning model is the best way to predict the level of stres Read More

Introduction: In developing safety and security-critical systems, separation kernel acts as a primary foundation, which provides spatial as well as temporal separation. The separation kernel offers highly assured partitions to the applications hosted on the fundamentally critical systems and can also control the flow of information between them. The industries, as well as academia, have developed several separation kernels that Read More

Background: Unmanned aerial vehicle automatic fault identification of high voltage transmission equipment has entered the stage of product development, in which image recognition technology is one of the key technologies. There are often bird nests on the high voltage transmission tower, which have an impact on the transmission, so they need to be automatically detected. Methods: For bird's nest recognition, a nov Read More

Background: Humanity today faces a global emergency. It is conceivably the greatest crisis of our generation. The coronavirus pandemic, which has many global implications, has led researchers worldwide to seek solutions to this crisis, including the search for effective treatment in the first place. Objective: This study aims to identify the factors that can have an essential effect on COVID-19 comportment. Having proper man Read More

Objective: Defects in delivered software products not only have financial implications but also affect the reputation of the organisation and lead to wastage of time and human resources. This paper aims to detect defects in software modules. Methods: Our approach sequentially combines SMOTE algorithm with K - means clustering algorithm to deal with class imbalance problem to obtain a set of key features based on the i Read More

Background: In a parallel processor, the pipeline cannot fetch the conditional instructions with the next clock cycle, leading to a pipeline stall. Therefore, conditional instructions create a problem in the pipeline because the proper path can only be known after the branch execution. To accurately predict branches, a significant predictor is proposed for the prediction of the conditional branch instruction. Methods: In this Read More

Background: Electricity consumption prediction plays an important role in conservation, development, and future planning. Accurate prediction model has various field applications in real-life scenarios, future electricity demand estimation, performance evaluation of current time, fault detection, efficient energy production, resource-saving, and many more. In this paper, a CNN based short term building electricity consu Read More