Agriculture is a major part of the world economy as it provides food safety. However, in recent years, has been noted that plants are extensively infected by different diseases. This causes enormous economic losses agriculture industry around world. The manual inspection fruit diseases difficult process which can be minimized using automated methods for detection plant at earlier stage. In this paper, new method implemented apple identification and recognition. Three pipeline procedures...

Abstract Effective recognition of fruit leaf diseases has a substantial impact on agro‐based economies. Several exist that badly the yield and quality fruits. A naked‐eye inspection an infected region is difficult tedious process; therefore, it required to have automated system for accurate disease. It widely understood low contrast images affect identification classification accuracy. Here parallel framework real‐time apple disease proposed. Initially, hybrid stretching method increase...

The emergence of cloud infrastructure has the potential to provide significant benefits in a variety areas medical imaging field. driving force behind extensive use for image processing is exponential increase size computed tomography (CT) and magnetic resonance (MRI) data. single CT/MRI increased manifold since inception these imagery techniques. This demand introduction effective efficient frameworks extracting relevant most suitable information (features) from sizeable images. As early...

Abstract Skin cancer is being a most deadly type of cancers which have grown extensively worldwide from the last decade. For an accurate detection and classification melanoma, several measures should be considered include, contrast stretching, irregularity measurement, selection optimal features, so forth. A poor lesion affects segmentation accuracy also increases error. To overcome this problem, efficient model for border presented. The proposed improves in its preprocessing phase,...

Abstract Several countries are most reliant on agriculture either in terms of employment opportunities, national income, availability a raw material, food production, to name but few. However, it faces big challenge such as climate changes, diseases, pets, weeds etc. Therefore, last decade has provided machine learning‐based solution the agricultural community, which helped farmers identify diseases at early stages. In this article, our focus is grape and proposes novel framework classify...

The exhaustion of conventional resources and its effect on climate requires an urgent call for the substitute power to convene up current requirement. Solar energy is endless, unsoiled prospective source among all other nonconventional options. As more concentration being done focal point development renewable capital globally. To ascertain their viability it necessary do economic technical assessments these resources. This paper presents designing aspects solar PV system based field actual...

Abstract In the human immune system, white blood cells (WBC) creates bone and lymphoid masses. These defend body toward several infections, such as fungi bacteria. The popular WBC types are Eosinophils, Lymphocytes, Neutrophils, Monocytes, which manually diagnosis by experts. manual process is complicated time‐consuming; therefore, an automated system required to classify these WBC. this article, a new method presented for classification using feature selection extreme learning machine...

The constantly evolving human-machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, stress by monitoring brain states for optimum performance safety. Similarly, signals become paramount rehabilitation assistive purposes fields brain-computer interface (BCI) closed-loop neuromodulation neurological disorders motor disabilities. complexity, non-stationary nature, low signal-to-noise ratio...

Sign Language Translation (SLT) bridges the communication gap between hearing-impaired and hearing individuals by translating sign language into spoken language. Each country has its distinct language, with Pakistan (PSL) serving community in Pakistan. Despite importance, little work been done on PSL translation. To address this gap, we applied keypoints estimation video sequence-based techniques to conducted a performance analysis. best of our knowledge, paper presents first comparative...

Throughout their academic careers, medical and dental students face challenges that cause varying levels of stress, affecting performance quality life (QoL). Our study aims to ascertain the effect stress educational environment on QoL students, encompassing perspectives both healthcare professionals.A mixed-method research was conducted from February May 2022, comprising a college in Pakistan. During Phase 1, participated cross-sectional survey completed WHO Quality Life Scale (WHOQOL-BREF),...

Citrus fruit crops are among the world's most important agricultural products, but pests and diseases impact their cultivation, resulting in yield quality losses. Computer vision machine learning have been widely used to detect classify plant over last decade, allowing for early disease detection improving production. This paper presented an automatic system classification of citrus based on a deep (DL) model, which improved accuracy while decreasing computational complexity. The recent...

Plant diseases are accountable for economic losses in an agricultural country. The manual process of plant diagnosis is a key challenge from last one decade; therefore, researchers this area introduced automated systems. In research work, system proposed citrus fruit recognition using computer vision technique. method incorporates five fundamental steps such as preprocessing, disease segmentation, feature extraction and reduction, fusion, classification. noise being removed followed by...

Heavy metals such as Chromium (Cr), Cadmium (Cd), Mercury (Hg), Arsenic (As), Zinc (Zn), Copper (Cu), Iron (Fe), Aluminum (Al), Barium (Ba), Calcium (Ca), Magnesium( Mg), Lead (Pb), Manganese (Mn), Silver( Ag), Sodium (Na), and Selenium (Se) their excess contamination in drinking irrigation water causes toxicity living organisms. Their major sources are from different industries dying, textiles, leather, mining, pesticides, plastic, wood, pharmaceuticals. The industrial processes release...