Deep neural network and Machine learning are a latestemerging concept in the field of data science. Due to multilayer hierarchical feature extraction in conjunction with control variables like number of hidden layers,...
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The prevalence of mental health problems has prompted investigations into the use of machine learning to tackle the issues. Mental health is a crucial component of an individual's overall well-being and can be det...
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This paper gives an overview of the two approaches to implement the Multivariate Logistic Regression. There is the Geometric way and the Probabilistic way. The aim of this paper is to establish that both the approache...
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Software reliability is the primary concern of software developmentorganizations, and the exponentially increasing demand for reliable softwarerequires modeling techniques to be developed in the present era. Small unn...
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Software reliability is the primary concern of software developmentorganizations, and the exponentially increasing demand for reliable softwarerequires modeling techniques to be developed in the present era. Small unnoticeable drifts in the software can culminate into a disaster. Early removal of theseerrors helps the organization improve and enhance the software’s reliability andsave money, time, and effort. Many soft computing techniques are available toget solutions for critical problems but selecting the appropriate technique is abig challenge. This paper proposed an efficient algorithm that can be used forthe prediction of software reliability. The proposed algorithm is implementedusing a hybrid approach named Neuro-Fuzzy Inference System and has also beenapplied to test data. In this work, a comparison among different techniques of softcomputing has been performed. After testing and training the real time data withthe reliability prediction in terms of mean relative error and mean absolute relativeerror as 0.0060 and 0.0121, respectively, the claim has been verified. The resultsclaim that the proposed algorithm predicts attractive outcomes in terms of meanabsolute relative error plus mean relative error compared to the other existingmodels that justify the reliability prediction of the proposed model. Thus, thisnovel technique intends to make this model as simple as possible to improvethe software reliability.
Social Virtual Worlds have begun to offer great potential for communication in recent years. The recent development of SVWs, VR and blockchain has led to the metaverse. SVW is all about creating an immersive virtual s...
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In recent decades the role of the Internet in day-to-day activities are rapidly increased due to the accessibility and completion of tasks with in fraction of a second, as well as the banking and billing process proce...
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In this approach, we detail an approach to monitoring employees using preexisting setups such as CCTV camera feeds and a network connection. With this approach, we try to lower the system requirements to make it avail...
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In IoT applications, battery-constrained devices face an important and crucial challenge that their lifespan depends solely on their batteries. Extending this lifespan is a key challenge. Fortunately, various energy h...
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This paper introduces a new family of reconstruction codes which is motivated by applications in DNA data storage and sequencing. In such applications, DNA strands are sequenced by reading some subset of their substri...
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The usage of machine learning in the field of microwave engineering has increased. This project proposes a design optimized model in order to achieve parameter optimization of 2 × 2 square patch antenna using Art...
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