Context: The inclusion of grey literature (GL) is important to remove publication bias while gathering available evidence regarding a certain topic. number systematic reviews (SLRs) in Software Engineering (SE) increasing but we do not know about the extent GL usage these SLRs. Moreover, Google Scholar rapidly becoming search engine choice for many researchers which it can find primary studies known. Objective: This tertiary study an attempt i) measure SLRs SE. Furthermore this proposes...

Agriculture is severely threatened by plant diseases, which can result in poor quality and quantity of food. Because the rapid spread diseases vast areas affected, it difficult to control them effectively. Several leaf affect mango industry particularly severely, reducing fruit yields quality. In order prevent treat these effectively, crucial identify quickly correctly. this study, attention methods multi-scale feature fusion will be used improve automatic detection diseases. To extract...

Objective: To identify the factors associated with higher odds of in-hospital mortality among inpatients requiring transfer to medical intensive care unit. Method: The retrospective audit was conducted from April 1 September 30, 2023, at Aga Khan University Hospital, Karachi, Pakistan and comprised data January 1, 2018, December 31, 2022, patients initially admitted general ward or high dependency unit in Department Medicine who required during hospitalisation. Data analysed using SPSS 23....

The primary causes of death worldwide are Chronic Cardiac diseases. Accurately diagnose and predicting chronic cardiac disease is important to the proper treatment patients before a heart attack occurs. goal accurate prediction will be achieved using ML algorithm with health examination data. Early risk factors critical for preventing disease. In our research, this follow-up study statistical analysis used assess CCD as many high-risk (hypertension, smoking, high blood cholesterol,...

Solar radiation from reanalysis datasets can be used to estimate solar energy potential in the absence of long-term surface measured data. Comprehensive validation data against short-term measurements is necessary find uncertainties. The evaluation performance seven (ERA-5, MERRA-2, ERA-Interim, JRA-55, NCEP-NCAR, NCEP-DOE, and CFSR) for Balochistan high-quality was performed using statistical analysis. relative mean bias error (rMBE), absolute (rMAE), root square range −4 7%, 8 14%, 16 21%,...

Global Horizontal Irradiance (GHI), a component of solar radiation, is used to assess potential and estimate power output thermal PV applications. The reanalysis or analysis data are alternative satellite for resource assessment in places where latter not available costly, so there need evaluate their performance. evaluation estimated GHI (six-hourly data) from five global datasets (NCEP-NCAR, NCEP-DOE, CFSR, NCEP-GFS NCEP-FNL) performed using annual, seasonal monthly statistical analyses....

RNN based Deep learning models has shown tremendous success in sequential and temporal data where the order is critical to achieve higher accuracy context understanding. family like LSTM, BLSTM, GRU, BiGRU etc. are mainly used these kind of tasks. Encoder-decoder frameworks widely for recognition various languages scripts. However, Urdu, very less research been done especially with deep models. The existing work printed Urdu have that current only basic sentences but case complex words...

The evaluation of reanalysis and analysis data (estimated data) against in-situ measured is essential to find uncertainties before its use for wind resource assessment. performance four different generations datasets (NCEP-CFSR, NCEP-DOE, NCEP-NCAR JRA-55) two (NCEP-FNL NCEP-GFS) was done six sites using statistical analysis. A comparison monthly mean time-series, Weibull probability distribution function rose diagram estimated performed. MBE RMSE speed range from −2.18 2.01 m/s 1.34 3.00...

The k -means algorithm is sensitive to the outliers. In this paper, we propose a robust two-stage clustering based on observation point mechanism, which can accurately discover cluster centers without disturbance of first stage, small subset original data set selected nondegenerate points. good representation because it only contains all those points that have higher density and does not include second use find proper as true set. Based these centers, rest are assigned clusters whose closest...

The availability of accurate and reliable solar radiation data is very important to explore energy potential for commercial power plants. This study presents the validation global horizontal irradiance (GHI) from McClear model under clear-sky all-sky conditions against measured complex topography Pakistan. GHI shows good agreement with nine stations correlation was achieved coefficient ranging 0.972 0.992. relative mean bias error (rMBE) root square (rRMSE) using having temporal resolution...

Image captioning by the encoder-decoder framework has shown tremendous advancement in last decade where CNN is mainly used as encoder and LSTM a decoder. Despite such an impressive achievement terms of accuracy simple images, it lacks time complexity space efficiency. In addition to this, case complex images with lot information objects, performance this CNN-LSTM pair downgraded exponentially due lack semantic understanding scenes presented images. Thus, take these issues into consideration,...

Event-based social networks (EBSNs) are widely used to create online groups and organize offline events for users. Activeness loyalty crucial characteristics of these in terms determining the growth or inactiveness a specific time frame. However, there is less research on concepts clarify existence event-based networks. In this paper, we study problem group activeness user provide novel insight into First, analyze structure EBSNs generate features from crawled datasets. Second, define based...

Greenhouse gas emissions from human activities, especially the combustion of fossil fuels, increased world surface temperatures by 1.1 °C between 2011 and 2020 compared to 1850–1900 period. In order limit global temperature rise, achieve net-zero mid-century, as outlined in Paris Agreement—which Indonesia signed 2016—a substantial decrease coal usage is imperative. This poses uncertainties for coal-dependent companies like Eastern Borneo Coal (EBC) Indonesia. study investigates business...

Gait-based gender classification is a challenging task since people may walk in different directions with varying speed, gait style, and occluded joints. The majority of research studies the literature focused on gender-specific joints, while there less attention comparison all body's To consider it essential to determine person's based their using Kinect sensor. This paper proposes logistic-regression-based machine learning model whole body joints for classification. proposed method...

Identifying the mechanical properties of skin has been subject much study in recent years, as such knowledge can provide insight into wound healing, wrinkling and minimization scarring through surgical planning.

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