The production of apples contributes significantly to the world's food security, but it also confronts significant obstacles because illnesses that harm apple leaves. Early diagnosis and categorization are essential effectively managing controlling these diseases supporting sustainable farming. Convolutional neural networks (CNNs) have powerful image classification capabilities. This research paper introduces a novel method classify leaf into four severity levels using federated learning...

A novel wearable consumer electronics device for detecting Major Depressive Disorder (MDD) has been developed using deep learning techniques smart healthcare. Accurate identification of MDD through individual interviews or perceiving Electroencephalogram (EEG) signals is challenging. This study presents the concept a cap named DepCap real-time detection depression EEG signals. First, spectrogram images are generated from depressed and healthy patients Short-Time Fourier Transform (STFT) to...

I have studied how artificial intelligence (AI) or machine learning (ML) is applied in a sustainable system called "Eugenie" for my work, project, and thesis. In this get to discuss Eugenie's role ensuring the sustainability of large environmental business organizations. also it aids operation managers making predictions about when their machines will break down days, weeks, months advance, allowing them schedule maintenance cycles more effectively. other words, Eugenie provides plant...

This paper describes the journey of big data starting from mining to web data.It discusses each this method in brief and also provides their applications.It states importance today using fast novel approaches.

Natural eye is influenced by the distinctive illnesses some of them are great cause vision loss. Many Artificial Intelligence (AI) approaches have been proposed for identification such diseases. The method intends to plan an AI based automated network illness and grouping help ophthalmologists all more viably distinguishing ordering internal diseases like Choroid Neovascularisation (CNV), Diabetic Macular Edema (DME) Drusen utilizing Optical Coherence Tomography (OCT) pictures portraying...

In digital images, there are some regions that correspond to flat area and others texture area. Different image processing need be performed depending upon the type of region. This paper presents threshold modulation Gaussian filter for filtering an image. Standard deviation is used differentiate between area, adaptive behaves as a Normal distribution in average filter. Experimental results on various test images illustrate capabilities approach efficient noise reduction.

The disease known as wheat stripe rust poses a huge risk to production all over the world, resulting in considerable yield losses well economic harm. proper management of illness and prevention crop both need diagnosis that is accurate made early possible. Using dataset 15,000 pictures, we created multi-layer perceptron (MLP) model classify based on six distinct intensity levels. technique was suggested included steps for preprocessing data, training model, validating evaluating performance...

The research aims to identify the age, plumage, and sex of bird species using standard Pre-trained Deep Convolutional Neural Networks (Pre-DCNNs). proposed work involves collecting various images, which are then used for training validating pre-trained DCNNs. dataset contains 200 images four species. was split into twelve labeled classes based on sex. image manipulation techniques such as cropping, flipping, mirroring, rotating, shearing, skewing were augmentation increase size dataset. data...

This research presents a predictive model aimed at estimating the progression of Amyotrophic Lateral Sclerosis (ALS) based on clinical features collected from dataset 50 patients. Important included evaluations speech, mobility, and respiratory function. We utilized an XGBoost regression to forecast scores ALS Functional Rating Scale (ALSFRS-R), achieving training mean squared error (MSE) 0.1651 testing MSE 0.0073, with R² values 0.9800 for 0.9993 testing. The demonstrates high accuracy,...

Biometric recognition has several applications that provide reliable solutions to the user authentication problem. Its widespread use and popularity is itself making it prone vulnerabilities. Iris emerging as one of most popular accurate biometrics. Due its inherent advantages uniqueness, gaining a powerful tool. However, iris systems may suffer from various attacks at different points during process. This article intends review on biometric, which affects security, present survey approaches...

In the event of a sharp rise in global population, agriculture strives to provide food it. agriculture, detection and diagnosis diseases occurring plants continues be arduous task. That is why it endorsed predict when crops are early stage. This work done develop implement disease prediction system by using different machine learning algorithms convolutional neural network. The objective paper grab attention among organisations employ innovative technologies decrease that persistent plants....

Data is identified as the fuel of modern society for its versatility use and effectiveness use. In addition, businesses are making a decline based on analysis historical data patterns data. Such dependency makes process important mining. Therefore overall study has shed light significance mining extraction in order to make data-driven decision. Additionally, problems related mentioned which helps achieve an concept process. study. there tables constructed that represent stems The concludes...

Modern Information Retrieval Systems match the terms of a user query with available documents in their index and return large number Web pages generally form ranked list. It becomes almost impractical at end to examine every returned document, thus necessitating need look for some means result optimization. In this paper, novel optimization technique based on learning from historical logs is being proposed, which predicts users' information needs reduces navigation time within The method...