Computational Intelligence

Most plant diseases have observable symptoms, and the widely used approach to detect plant leaf disease is by visually examining the affected plant leaves. A model which might carry out the feature extraction without any errors will process the classification task successfully.  The technology currently faces certain limitations such as a large parameter count, slow detection speed, and inadequate performance in detecting small dense spots. These factors restrict the practical applications of the technology in the field of agriculture.

In Nigeria, access to proper medical services is not only costly but also not readily available. We are faced with different problems that require immediate attention (first-aid) to save life before we can get access to proper medical attention from professionals in hospitals and clinics which may be some miles away from our location at that instant. A lot of us do not know how to administer First-Aid in different circumstances that we find ourselves. Lots of people thereby resort to quacks and other unorthodox means for First-Aid services since proper medical service may be elusive.

This data collection focuses on capturing user-generated content from the popular social network Reddit during the year 2023. This dataset comprises 29 user-friendly CSV files collected from Reddit, containing textual data associated with various emotions and related concepts.

Problems related to ventral hernia are very common, and evaluating them using computational methods can assist in selecting the most appropriate treatment. This study collected data from over 3500 patients from different European countries observed during last 11 years (2012-2022), which were collected by specialists in hernia surgery. The majority of patients underwent standard surgical procedures, with a growing trend towards robotic surgery.

The e-nose device used in this study was constructed using a gas sensor array, LCD display, micro air pumps for inhalation and exhalation, a microcontroller, and a mini-PC. Gas samples from the sample chamber were periodically drawn into the device through a hose. Each sample underwent a 30-hour sampling process at room temperature (25°C). The sampling frequency was 15 times per hour, resulting in 60 records per sample.

To illustrate the impact of the obstacles, we consider indoor and outdoor scenarios. We consider the Department of Computer Science and Engineering, IIT(BHU) buildings as indoor buildings and the railway platform as an outdoor scenario. Here, we use single-channel LG in our experiment. The distance between LNs and LG varies from 5 to 50 meters. The floor map illustrates the walls, doors, and windows between LNs and LG. We consider railway stations for the outdoor environment. The outdoor environment did not consist of obstacles between LNs and LG.

The concept of wellness, as proposed by Halbert L. Dunn, recognizes the importance of multiple dimensions, such as social and mental well-being, in maintaining overall health. Neglecting these dimensions can have long-term negative consequences on an individual's mental well-being. In the context of traditional in-person therapy sessions, efforts are made to manually identify underlying factors that contribute to mental disturbances, as these factors, if triggered, can potentially lead to severe mental health disorders.

Over speeding of vehicles is considered as one of the most important factors for occurring road accidents. An advanced sensor technology motivates the researchers to move towards automatic vehicles, whereas the speed decisions were taken based on the information collected from the sensor. Beyond its success, the expensiveness, and implementation failure in bad road conditions make it less practicable. In this work, a novel FeduLPM technique has been proposed for controlling the speed in customizable automotive variants using data analysis from the location of the accident.

Mizo or Lushai language is the official language of Mizoram, a state in the north-eastern part of India. It is an under-resourced language that falls under the Tibeto-Burman language family and is highly tonal in nature.