Irfan Ali

Sindh Madressatul Islam University · Department of Computer Science

Farmers face a daunting challenge in meeting the escalating demands of a rapidly growing population for agricultural products, while plant diseases continue to exact a devastating toll on food production. Despite investing billions of dollars in disease management, agriculturists often struggle to achieve effective disease control without the suppo...

The development of advanced Intelligent Transportation Systems has been made possible by the rapid expansion of autonomous vehicles (AVs) and networking technology (ITS). The in-vehicle users' increased data needs from AVs put the vehicle's trajectory data in danger and make it more susceptible to security threats. In this paper, Autonomous vehicle...

This research study focuses the cross-domain aspect-based sentiment analysis (CD-ABSA) for existing source domain annotation data. The CD-ABSA tries to use the valuable information in a source domain to extract aspect terms and evaluate their sentiment polarities in a target domain. It can considerably increase the usage of the source domain annota...

10.1504/IJESDF.2023.10052136

Computer viruses, malicious, and other hostile attacks can affect a computer network. Intrusion detection is a key component of network security as an active defence technology. Traditional intrusion detection systems struggle with issues like poor accuracy, ineffective detection, a high percentage of false positives, and an inability to handle new...

When it comes to conveying sentiments and thoughts, facial expressions are quite e ective. For human-computer collaboration, data-driven animation, and communication between humans and robots to be successful, the capacity to recognize emotional states in facial expressions must be developed and implemented. Recently published studies have found th...

Nowadays, social media platform has enhanced tremendously in the last few years and considered one of major source of for information seeking and sharing in low cost. Due to the growth of data, The Fake news are quickly dominating and spreading the information, and distorting the community for sharing their own thoughts, knowledge and point of view...

In this paper, we have developed a preprocessing and Sentiment analysis (SA) tool (PSAT) that will be used to analyze the sentiments of peoples, cricket audience, former cricketers, and other sports personality on abandoned tour of Pakistan by New Zealand reasoning security concerns. This paper focuses on data cleaning and analyzing the sentiments...

In the present era, people are suffering from various diseases the main reason is that make everything easier for us like doing our jobs and travel it has become very easy now a days. Because everything is so easy people have stopped doing hard work which is why they are gaining weight and because of the weight gain, they are getting dangerous dise...

Health Monitoring System is a sophisticating technology and another way to the normal/regular management of the health of the patient. This Health Monitoring Mobile Application is a contribution from our side to the public and to the overall health industry in Pakistan. With the help of Health mobile application, the users will be able to store the...

This paper presents the automated tool for the classification of text with respect to predefined categories. It has always been considered as a vital method to manage and process a huge number of documents in digital forms which are widespread and continuously increasing. Most of the research work in text classification has been done in Urdu, Engli...

This paper focuses on the performance analysis of hyperparameters of the Sentiment Analysis (SA) model of a course evaluation dataset. The performance was analyzed regarding hyperparameters such as activation, optimization, and regularization. In this paper, the activation functions used were adam, adagrad, nadam, adamax, and hard_sigmoid, the opti...

Objectives: Sindhi language, historically rich belongs to Indo-Aryan language with diverse background and diverse dialects. Recent drive in globalization, e-commerce and e-literacy have influenced on languages as well. There are lots of magazines, Sindhi books, newspapers and web material available online, but unluckily still proper dataset is not...

This study presents Sindhi Handwritten Digits Recognition using machine learning approaches. The purpose of this study is to explore the different ML techniques to identify its significance in the field of Sindhi handwritten digits recognition. Handwritten digits recognition is one of the important fields in Computer Science. In the past, a lot of...

Objectives: A new method is introduced in this study for Facial expression recognition using FER2013 database consisting seven classes consisting (Surprise, Fear, Angry, Neutral, Sad, Disgust, Happy) in past few decades, Exploration of methods to recognize facial expressions have been active research area and many applications have been developed f...

Objectives: The emotion detection is one of the important fields in computer-human interaction and this study plays significant a role for identification facial expression from the images. To identify the single emotion, need various variability of human shapes such as pose, color, texture, expression, posture, and orientation. In this study, we im...

Objectives: The study has been carried out to present the sentiment analysis model for improving the quality of teaching in academic institutions, particularly at universities. The purpose of this study is to explore the different machine learning techniques to identify its importance as well as to raise interest in this research area. In this rega...

Objectives: Teacher’s evaluation in education system is quite important to improve the learning experience ininstitutions. For this purpose, sentiment analysis model is developedto identify the student sentiments from the piece of text. Methods/ Statistical Analysis: Long Short-Term Memory Model (LSTM) is used for analyzing the sentiments expressed...

Image denoising autoencoder is classical issue in the field of digital image processing where compression and decompression function are lossy and data specific. In this paper, we use autoencoder technique on RGB (Red, Green and Blue) color scheme dataset, we added Gaussian noise on CIFER-10 dataset then encode by using 2D convolutional neutral net...

Image denoising autoencoder is classical issue in the field of digital image processing where compression and decompression function are lossy and data specific. In this paper, we use autoencoder technique on RGB (Red, Green and Blue) color scheme dataset, we added Gaussian noise on CIFER-10 dataset then encode by using 2D convolutional neutral net...

In computer science field, one of the basic operation is sorting. Many sorting operations use intermediate steps. Sorting is the procedure of ordering list of elements in ascending or descending with the help of key value in specific order. Many sorting algorithms have been designed and are being used. This paper presents performance comparisons am...