Sheeraz Akram

Superior University

Recent advancements in AI, driven by big data technologies, have reshaped various industries, with a strong focus on data-driven approaches. This has resulted in remarkable progress in fields like computer vision, e-commerce, cybersecurity, and healthcare, primarily fueled by the integration of machine learning and deep learning models. Notably, th...

Lung cancer is a leading cause of global mortality rates. Early detection of pulmonary tumors can significantly enhance the survival rate of patients. Recently, various Computer-Aided Diagnostic (CAD) methods have been developed to enhance the detection of pulmonary nodules with high accuracy. Nevertheless, the existing methodologies cannot obtain...

The application of deep learning techniques in the medical field, specifically for Atrial Fibrillation (AFib) detection through Electrocardiogram (ECG) signals, has witnessed significant interest. Accurate and timely diagnosis increases the patient’s chances of recovery. However, issues like overfitting and inconsistent accuracy across datasets rem...

This paper presents an innovative approach to enhance the querying capability of ChatGPT, a conversational artificial intelligence model, by incorporating voice-based interaction and a convolutional neural network (CNN)-based impaired vision detection model. The proposed system aims to improve user experience and accessibility by allowing users to...

Pulmonary nodules are small, round, or oval-shaped growths on the lungs. They can be benign (noncancerous) or malignant (cancerous). The size of a nodule can range from a few millimeters to a few centimeters in diameter. Nodules may be found during a chest X-ray or other imaging test for an unrelated health problem. In the proposed methodology pulm...

The rapid evolution of electronic media in recent decades has exponentially amplified the propagation of fake news, resulting in widespread confusion and misunderstanding among the masses, especially concerning critical topics like the COVID‐19 pandemic. Consequently, detecting fake news on social media has emerged as a prominent area of research,...

Facial expression recognition (FER) is an essential field for intelligent human-computer interaction, but the COVID-19 pandemic has made unimodal techniques less effective due to masks. Multimodal approaches that combine information from multiple modalities are more robust at recognizing emotions from facial expressions. The need to accurately reco...

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by significant challenges in social interaction, communication, and repetitive behaviors. Timely and precise ASD detection is crucial, particularly in regions with limited diagnostic resources like Pakistan. This study aims to conduct an extensive comparative analysis of...

Agricultural systems are being revolutionized due to emerging technologies that aim to make improvements in the traditional agriculture system. The major goal is not just to enhance agricultural output per hectare but also to enhance crop quality while protecting the natural environment. Weeds pose a significant threat to crops as they consume nutr...

Accommodating an increasing number of users in the Blockchain network has moved to the forefront of discussion. It is also evident that without jeopardizing the data security in Blockchain, it is of indispensable need to devise an appropriate method for improving the scalability trait of Blockchain. In this article, we have proposed a consensus met...

Our daily activities hinge on the flexibility of our fingers, and a fractured finger can significantly disrupt these routines. The finger bones enable us to bend and fold the fingers and thumb to pick up or grasp objects and do all of our daily activities. A broken finger can cause adverse effects on our daily life activities. It is important to tr...

A brain tumor considered the deadliest disease in the world. Patients with misdiagnoses and insufficient treatment have a lower chance of surviving for life. However, for diagnosing the disturbance in the brain, magnetic resonance images play a vital role, but due to the large number of images produced by MRI, it is time-consuming and difficult to...

Deep learning models, such as convolutional neural network (CNN), are popular now a day to solve various complex problems in medical and other fields, such as image classification, object detection, recommendation of images, processing of natural languages and video and image analysis. So, the idea of studying the architecture of CNNs has gotten a...

Sarcasm is a mode of expression whereby individuals communicate their positive or negative sentiments through words contrary to their intent. This communication style is prevalent in news headlines and social media platforms, making it increasingly challenging for individuals to detect sarcasm accurately. To mitigate this challenge, developing an i...

In computer vision, the convolutional neural network (CNN) is a very popular model used for emotion recognition. It has been successfully applied to detect various objects in digital images with remarkable accuracy. In this paper, we extracted learned features from a pre-trained CNN and evaluated different machine learning (ML) algorithms to perfor...

Game designers and critics have adopted the idea of immersion to define a rich and satisfying gaming experience. The intensity to which players may engage themselves in a game experience is frequently claimed to be influenced by the game's user interface, though there are several definitions for this idea. This investigation was intended to look at...

Usability refers to a software product's capacity to be unstated, erudite and appealing to the user when used under convinced conditions. Human-computer interaction (HCI) is one of the most significant fields in usability. For the past few years, e-commerce has been a hot area. E-commerce is the practice of buying and selling products online. Many...

By June 2020, almost 9 million confirmed verified Covid-19 cases had been confirmed, with above 468 thousand deaths. Contact with tainted objects can transmit the viruses and touch your mouth, eyes, or nose to an infected person. Since how much corona diseases are spreading quickly, it is hard to test because of time and cost factors. For a long ti...

Diabetic Retinopathy (DR) is the most common complication that arises due to diabetes, and it affects the retina. It is the leading cause of blindness globally, and early detection can protect patients from losing sight. However, the early detection of Diabetic Retinopathy is an difficult task that needs clinical experts’ interpretation of fundus i...

The rapid growth in technology and several IoT devices make cyberspace unsecure and eventually lead to Significant Cyber Incidents (SCI). Cyber Security is a technique that protects systems over the internet from SCI. Data Mining and Machine Learning (DM-ML) play an important role in Cyber Security in the prediction, prevention, and detection of SC...

Lung cancer is the most common cause of cancer deaths around the globe. Early detection is crucial for successful treatment and increasing patient survival rates. Artificial intelligence techniques can play a significant role in the initial diagnosis of lung cancer. Various methods consisted of machine learning and deep learning methods are used to...

Facial expression recognition (FER) is advancing human-computer interaction, especially, today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional unimodal techniques for facial expression recognition may be ineffective under these circumstances. To address this challenge, multimodal approaches that incorporate data from...

The most lethal and devastating form of cancer, breast cancer, is often first detected when a lump appears in the breast. The cause can be attributed to a typical proliferation of cells in the mammary glands. Early breast cancer detection improves survival. Breast cancer screening and early detection are commonly carried out using imaging technique...

Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung. It is mostly caused by the instinctive growth of cells in the lung. Lung nodule detection has a significant role in detecting and screening lung cancer in Computed tomography (CT) scan images. Early detection plays an important ro...

The convolutional neural network (CNN) has become a powerful tool in machine learning (ML) that is used to solve complex problems such as image recognition, natural language processing , and video analysis. Notably, the idea of exploring convolutional neural network architecture has gained substantial attention as well as popularity. This study foc...

Due to limited depth-of-field of digital single-lens reflex cameras, the scene content within a limited distance from the imaging plane remains in focus while other objects closer to or further away from the point of focus appear as blurred (out-of-focus) in the image. Multi-Focus Image Fusion can be used to reconstruct a fully focused image from t...

Drought stress is a serious threat for sustainable crop production throughout the world especially in arid and semi-arid regions and one of the main constraints to sunflower (Helianthus annuus L.) production. Different mitigation strategies, including foliar spray of osmolytes such as β-aminobutyric acid (BABA), help the crop to combat drought cond...

Information and communication technologies brought-in tools and technologies in the field of electronic commerce that introduced new modes of shopping. With the emergence of e-commerce platforms, the user base is shifting from the traditional mode of shopping towards online e-commerce sites. A large number of e-commerce sites share multiple brands...

Primarily, there are three basic operational constituents of Nodule Detection Systems namely nodule candidate detection, classification of nodule and extraction of features. Thresholding is one of the most important factor for nodule detection. To segment the lungs and nodules, Gaussian approximation based Particle Swarm Optimization (PSO) is used...

Finding similar objects based on a query and a distance, remains a fundamental problem for many applications. The general problem of many similarity measures is to focus the search on as few elements as possible to find the answer. The index structures divides the target dataset into subsets. With large amounts of data, the volumes of the subspaces...

Drug addiction is a kind of brain disease that is associated with developing its habit which in turn affects human behavior. The impact of the addiction can be far more obliterating. Drug abuse affects human being as in Cardiovascular syndrome, stroke, melanoma, HIV/AIDS, hepatitis, kidney, lung and liver damage, neurological and hormonal effects a...

Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark or signature in an audio that is unknown in most of the real-life scenarios. Therefore, forgery...

Technology is being used every day by the people irrespective of their technology skills. People with limited technology skills are not aware of what actions are legal and what actions are illegal according to the laws. In this paper, an interactive model for creating awareness and consequences of cyber-crime in people with the limited technology s...

Facial expressions classification is a fast growing research area. Lots of contribution has been made in this area by researchers from fields of computer science, computer vision, artificial intelligence and psychology. There are many applications that use facial expression classification to identify the behavior, emotion, feelings and opinion of a...

In this paper, the threshold value of overlapped circular region is calculated. The lung volume is segmented by thresholding, lung lobe extraction, hole filling and contour corrected. The regions of interest are segmented from extracted lung volume. The candidate nodules are selected from the ROIs. The features of candidate nodules are extracted. A...

Local features for any pattern recognition system are based on the information extracted locally. In this paper, a local feature extraction technique was developed. This feature was extracted in the time–frequency plain by taking the moving average on the diagonal directions of the time–frequency plane. This feature captured the time–frequency even...

A computer-aided diagnostic (CAD) system for effective and accurate pulmonary nodule detection is required to detect the nodules at early stage. This paper proposed a novel technique to detect and classify pulmonary nodules based on statistical features for intensity values using support vector machine (SVM). The significance of the proposed techni...

A computer-aided diagnostic (CAD) system for effective and accurate pulmonary nodule detection is required to detect the nodules at early stage. This paper proposed a novel technique to detect and classify pulmonary nodules based on statistical features for intensity values using support vector machine (SVM). The significance of the proposed techni...

To identify and detect the nodule at early stage, efficient pulmonary nodule detection system is required. A novel pulmonary nodule detection system using support vector machine (SVM) based in hybrid features is proposed in this paper. The lung volume is segmented using thresholding, initial label masking, background removal, connected component la...

An automated pulmonary nodule detection system is necessary to help radiologist to identify and detect the nodules at early stage. In this paper, a novel pulmonary nodule detection system is proposed using Artificial Neural Networks (ANN) based on hybrid features consist of 2D and 3D Geometric and Intensity based statistical features. The lung volu...

Face recognition in today's technological world, and face recognition applications attain much more importance. Most of the existing work used frontal face images to classify face image. However these techniques fail when applied on real world face images. The proposed technique effectively extracts the prominent facial features. Most of the featur...

Heart disease diagnosis is considered as one of the complicated tasks in medical field. In order to perform heart disease diagnosis an accurate and efficient automation system can be very helpful. In this research, we propose a classifier ensemble method to improve the decision of the classifiers for heart disease diagnosis. Homogeneous ensemble is...

Classification has emerged as a leading technique for problem solution and optimization. Classification has been used extensively in several problems domains. Automated gender classification is an area of great significance and has great potential for future research. It offers several industrial applications in near future such as monitoring, surv...