A great diversity comes in the field of medical sciences because computing capabilities and improvements techniques, especially identification human heart diseases. Nowadays, it is one world’s most dangerous diseases has very serious effects life. Accurate timely disease can be helpful preventing failure its early stages will improve patient’s survival. Manual approaches for are biased prone to interexaminer variability. In this regard, machine learning algorithms efficient reliable sources...

In software engineering community, defect prediction is one the active domain. For software’s success, it essential to reduce and data-mining gap. Software defects forecasts source code errors before testing phase. Methods for predicting defects, such as clustering, statistical methods, mixed algorithms, metrics based on neural networks, black box testing, white machine learning are frequently used explore effect area in software. The main contribution of this research use feature selection...

The purpose of this study is to compare the fitting (goodness fit) and prediction capability eight Software Reliability Growth Models (SRGM) using fifty different failure Data sets. These data sets contain defect collected from system test phase, operational phase (field defects) Open Source (OSS) projects. are modelled by SRGM (Musa Okumoto, Inflection S-Shaped, Goel Delayed Logistic, Gompertz, Yamada Exponential, Generalized Model). models chosen due their prevalence among many software...

Abstract A COVID-19, caused by SARS-CoV-2, has been declared a global pandemic WHO. It first appeared in China at the end of 2019 and quickly spread throughout world. During third layer, it became more critical. COVID-19 is extremely difficult to control, huge number suspected cases must be screened for cure as soon possible. laboratory testing takes time can result significant false negatives. To combat reliable, accurate fast methods are urgently needed. The commonly used Reverse...

A proposed method evaluates eight popular software reliability growth models and selects the one that can best predict software's remaining faults, providing practical support for project managers who are considering an open source component.

Android is one of the leading operating systems for smart phones in terms market share and usage. Unfortunately, it also an appealing target attackers to compromise its security through malicious applications. To tackle this issue, domain experts researchers are trying different techniques stop such attacks. All attempts securing platform somewhat successful. However, existing detection have severe shortcomings, including cumbersome process feature engineering. Designing representative...

The role of artificial intelligence in the field education has garnered significant attention recent decades. Artificial undergone advancements and been applied diverse areas education, including adaptive learning, school management, educational accessibility. objective this study is to examine progression utilization along with difficulties encountered its adoption implementation. effectively employed a qualitative research approach, utilizing literature review as design successfully...

The concept of employee creativity in organizations has become widespread. creative abilities and performance outcomes employees have been studied previous literature. From the Pakistani perspective, current study reveals crucial role improving sustainability, mediated by self-efficacy innovation. aimed to investigate relationship between employees’ potential for sustainable development through Data was gathered using questionnaires from 200 individuals operating Pakistan's high-tech...

The purpose of this study is to analyze the reliability growth Open Source Software (OSS) using Reliability Growth Models (SRGM). This uses defects data twenty five different releases OSS projects. For each release selected projects two types datasets have been created; developed with respect defect creation date (created DS) and updated (updated DS). These are modelled by eight SRGMs; Musa Okumoto, Inflection S-Shaped, Goel Delayed Logistic, Gompertz, Yamada Exponential, Generalized Model....

The purpose of this study is to analyze the reliability growth Open Source Software (OSS) versus software developed in-house (i.e. Closed Software, CSS) using Reliability Growth Model. This uses 22 datasets containing failure data CSS and 18 defect OSS projects. are modelled by eight SRGM (Musa Okumoto, Inflection S-Shaped, Goel Delayed Logistic, Gompertz, Yamada Exponential, Generalized Model). These models chosen due their widespread use. results can be summarized as follows All selected...

Recently research in the area of WBAN focusing on energy preservation, routing protocol and channel modeling. Considering less for path-loss. In this a Path-loss Energy Efficient Model (PLEEM) scheme is proposed to minimize path-loss both on-body off-body communications. To when body movement, two relays are utilized. Direct communication regular needed data indirect normal employed. Cost function calculated basis residual nodes minimum distance sink. Simulation results show that model...

Background: Medical Resonance Imaging (MRI) images degradation is still a challenging task. The noise compulsory destructive factor that gets added in MRI due to several environmental and mechanical reasons. In this paper, an effort made Genetic Programming (GP) based hybrid removal approach proposed which reduces the effect of Rician images. Methods: preserves structural edges details regions GP uses Feature Extraction phase, Optimal Expression module Estimation remove noise. To validate...

Brain and its structure are extremely complex with deep levels of details. Applying image processing methods brain can be very useful in many practical domains. Magnetic Resonance Imaging (MRI) is widely used imaging technique has particular advantage by possessing the capability providing highly detailed images soft tissues than any other techniques. The real challenge at hand for researchers to perform precise segmentation while overcoming effects noise artifacts like intensity homogeneity...

Agile methodology has been noted as the mostly used method for software development over past few years. This guarantees rapid delivery of products with lower cost and greater customer contentment. The adoption agile methods was initially applied in industry single, small project teams following principles Manifesto. intense need time is to identify from management perspective motivators that can be focused on adopt methodologies large-scale projects. Therefore, main purpose study develop a...

After successful development in health-care services, WBASN is also being used other fields where continuous and distant monitoring required. Various suggested protocols presented literature work to enhance the performance of by focusing on delay, energy efficiency routing. In this research we focus increase stability period throughput, while decreasing end-to-delay. Two sink nodes are utilized concept AnyCasting introduced. research, have a scheme Dual Sink (ACIDS) for compared it with...

The bond between reinforcements and concrete is the only mechanism that transfers tensile stresses from to reinforcements. Several factors including chemical adhesion, roughness reinforcement interface bar bearing affect strength of with concrete. This work was carried out considering another varying factor which maximum aggregate size. Four mixes similar compressive strengths but different sizes 25.4mm, 19.05mm, 12.7mm 9.53mm were used same size 16mm. Compressive strength, splitting for...

In the past composers used to make music with classical instruments such as piano, violin, guitar, flute, drums, and other well-known tools. With advent of digital technology many software programs were developed which allow musicians compose tunes using personal computers. Many file formats introduced NIFF, SMDL MIDI but none besides has been successful. Recently MusicXML emerged a de-facto standard for computer representation music. This paper presents brief description structure format...

Digital image enhancement has been a hot topic during the past decades. In this paper, we have established new fusion based approach for impulse noise reduction from multi-sensors images. Image is an important technique used in remote sensing, military and medical applications. proposed approach, firstly, only uncorrupted pixels multi-sensor images are grouped then all those filter with another state of art optimal results. The tested several noisy by finding Mean Square Error, Peak Signal...

The concepts of service-oriented computing (SOC) have previously been used in the embedded systems domain, mostly at device level ad hoc manners to achieve advantages integration. However, SOC has not for development software (ESS), i.e., controlling devices. To fill this gap, a process model is proposed article that allows systematic ESS based on concepts. consists analysis and design phases development. phase concerned with collection system information preparation design. Based this,...

Underwater wireless sensor networks (UWSNs) are intended to be positioned at the areas that need supervised constantly deprived of human interaction. Consequently, these likely stay active for a longer duration. Though, nodes in UWSNs equipped with finite energy

Background: The area of image processing extends from basic compression model to high end applications such as astronomical data and medical processing. Images have vast features coding them into lower bit rates results in the loss information. Methods: This study proposes a novel hybrid approach compress no information maintain reduced overhead. Discussion: To validate proposed approach, suggested method is tested on different samples obtained are compared with retrived through conventional...

Researchers have already shown that job satisfaction of workers is highly associated with motivation, performance and workers/professionals. Conventionally in software industry are employed companies or organizations get regular salary for their services to organization office hours; however the growing use communication technology has generated a new type online workers, which work on project basis without affiliation any specific known as freelancers continuously most developing countries...