The energy which is obtained from the sun in form of light and heat known as solar energy. Nowadays, technology focused on utilization this rich resource So many ways to harness utilize source have already been introduced; drying crops one its applications. Drying required improve quality well protect so unwanted issues like moisture, pest/insect attacks, birds/animals. Traditional methods are still used dry crops; preserving food product for long time. In paper, we studied about working...

Agriculture is essential for living in the Indian Himalayan region (IHR), as it functions main occupation and source of income. Therefore, monitoring crops detecting diseases at early stages becomes essential. Our research leverages deep learning (DL), a dynamically growing technology proficient handling large datasets. In this work, convolutional neural networks (CNNs) are used to solve real‐world problems using computer vision technique. This paper proposes modified AlexNet architecture...

The rearing, raising, and breeding of animals is known as animal farming. most likely source meat production among the many livestock species swine husbandry, these pigs are second-most effective feed converters after broilers. socially disadvantaged, impoverished sector Indian people has always raised reared their main income. Thanks to a significant change in story's trajectory, commercial hog raising India no longer restricted lower-income areas. Pigs now have recognized valued monetary...

This research looked into the viability of using metaheuristic algorithms in conjunction with an adaptive neurofuzzy system to predict seismicity and earthquakes. Different have been combined artificial intelligence (AI) algorithm. Subjected is a promising factor. The new sensors many advantages over older, more impressive-looking ones, including (a) generally linear relationship between measured values real ground motion (described above), (b) ability measure three orthogonal components...

Medication errors (MEs) are preventable incidents that can result in harm to patients. Therefore, it is essential for healthcare professionals (HCPs) be well-informed about MEs. This study aims assess the awareness levels of HCPs and impact educational intervention on their understanding

Drug discovery is costly and complex process with low success rate. Machine learning based computational method has been applied in different fields including drug discovery. Prediction of Anatomical Therapeutic Chemical (ATC) class like molecule can provide therapeutic area or organ system on which be used. Computational prediction ATC molecules only from structure (2D 3D) expedite the because no lab resources are required even it done before synthesis any target molecule. In present...

The Internet of Things (IoT) is a growing technology in which social surroundings are connected through different sensors networked together. can communicate data with each other the help internet connectivity. This paper focuses on safe kitchens smart homes using IoT. In terms safety household gas connections, regulator and LPG stove provided knobs control flow. Gas leakage may be hazardous, especially closed areas. these cases, system high detection ability required. this paper, an...

Alzheimer disease (AD) is a complex progressive neurodegenerative with no cure and its occurrence rate increased worldwide an increase of human life span. It became the sixth killer in USA vaccines are available for disease. Its unclear aetiology major hurdle therapeutics discovery against it. Discovery proteins/genes associated AD can decipher further vaccine drug targets. Computational methods be used to predict association all possible genes/proteins AD. In current research data known was...

The ANN (Artificial Neural Networks) & ANFIS (Adaptive Neuro-Fuzzy Inference System) approaches were used to identify between discrete and continuous readings in seismic recorded data precursor radon all over the world. significance of "precursor radon" earthquake forecasting has been investigated. For time series modelling, intelligence system applied. knowledge contained trained networks can be described as a fuzzy rule base using techniques. results research on use forecast earthquakes...

The drug-like molecule which could treat multiple diseases is commercially more viable and can act on biological pathways. Such drug candidates also be important in the treatment of complex like cancer. Traditional methods are not focused development such drugs, but computational method developed to predict disease potential molecules. Computational have been extremely successful discovery through prediction molecules as toxicity, physiological effects, binding energy pose with receptor....

This research looks at how the imbalance ratio and classifier affect well various resampling techniques work when dealing with imbalanced data sets. The examines effects on learning previously is changed into fictitiously balanced class distributions using a variety of strategies. When sets are significantly uneven, analyses utilising attribute selection, four different classifiers, six performance evaluation criteria demonstrate that over-sampling (95 percent accuracy) minority routinely...

Parameters related to earthquake origins can be broken down into two broad classes: source location and dimension. Scientists use distance curves versus average slowness approximate the epicentre of an earthquake. The shape is complex function epicentral distance, geological structures Earth, path taken by seismic waves. Brune’s model for fitted measured wave’s displacement spectrum in order estimate source’s size optimising spectral parameters. ANFIS determine magnitude has potential...