Saima Farhan
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Enhancing the early detection of Alzheimer’s disease using an integrated CNN-LSTM framework: A robust approach for fMRI-based multi-stage classification Open
Alzheimer’s Disease poses a significant challenge as a progressive and irreversible neurological condition striking the elderly population. Its incurable nature correlates with a significant rise in death rates. However, early detection ca…
Smart Garbage Monitoring with Manhole Open Alert System Open
A smart city is the future goal to have cleaner and better amenities for the society. Smart underground infrastructure is an important feature to be considered while implementing a smart city. Drainage system monitoring plays a vital role …
Enhancing Voice Spoofing Detection: A Hybrid Approach With VGGish-LSTM Model for Improved Security in Automatic Speaker Verification Systems Open
Cybercrimes frequently manifest through the utilization of the internet. Spoofing attacks epitomize an advanced facet of contemporary cybercrime. Considerable research has been conducted in the domain of these diverse spoofing attack techn…
BERT-Based Emotion Detection and Real-Time Content Recommendation System for Digital Mental Health Support Open
—Artificial intelligence (AI) in mental health has received great attention lately, especially within the realm of emotion detection and personalized support. In this paper, we introduce a BERT-based emotion detection system and demonstrat…
Survey Paper on Cyber Warfare Open
Cyberspace warfare has emerged as a critical new front in national security, presenting complex challenges due to its multifaceted nature. This paper dissects cyber warfare across its physical, syntactic, and semantic layers, detailing com…
Enhancing rice yield prediction: a deep fusion model integrating ResNet50-LSTM with multi source data Open
Rice production is pivotal for ensuring global food security. In Pakistan, rice is not only the dominant Kharif crop but also a significant export commodity that significantly impacts the state’s economy. However, Pakistan faces challenges…
Automatic Sarcasm Detection on Cross-Platform Social Media Datasets: A GLoVe and Bi-LSTM Based Approach Open
Sarcastic remarks on social media platforms have become commonplace, with people expressing their bad feelings in a quite positive manner or in a mocking way. This contradictive nature of sarcasm makes its detection a very challenging task…
Intrusion Detection System for Wireless Sensor Networks: A Machine Learning Based Approach Open
In this era, plenty of wireless devices are being used with the support of WI-FI (Wireless Fidelity) and need to be maintained and authorized. Wireless Sensor Networks (WSN), a cornerstone of modern wireless technology, offer cost-efficien…
Prevalence of A2 and A2B Subgroups among Blood Groups A and AB in healthy donors Open
Objective: To determine the frequency of A2 and A2B subgroups among blood groups A and AB in healthy donors. Methods: It was a Cross-Sectional study, conducted at the Department of Hematology & Transfusion Medicine, UCHS, The Children’s Ho…
Association of blood donation related fears with donors’ characteristics and their impact on future donation Open
Background: To find the association of blood donation related fears with the donors’ characteristics like age, education level and previous donation history and to find their impact on future donation. Methods: It was a cross-sectional stu…
REASONS OF DONOR DEFERRAL FOR A SINGLE DONOR PLATELETPHERESIS IN A PUBLIC SECTOR BLOOD TRANSFUSION CENTRE OF LAHORE: A CROSS-SECTIONAL STUDY Open
Background and Objective: Plateletpheresis is a process by which platelets are extracted from the donor. Donor selection is critical since donors are the sole supply of blood available to satisfy demand. The goal of this study is to invest…
Convolutional Neural Network-Based Classification of Multiple Retinal Diseases Using Fundus Images Open
Use of deep learning algorithms for the investigation and analysis of medical images has emerged as a powerful technique. The increase in retinal diseases is alarming as it may lead to permanent blindness if left untreated. Automation of t…
Factors Affecting Platelet Yield in a Single Donor Plateletpheresis Open
Background: This procedure, known as plateletpheresis, involves the removal of platelets from a donor's blood. This method produces eight times as many platelets as would be obtained by using whole blood. Aim: To evaluate the effect of dif…
Analysis of pattern of ABO Blood groups in pediatric diabetic patients – An observational study Open
Diabetes Mellitus (DM) is the most frequently occurring metabolic disorder, caused by inadequacy in secretion of insulin or malfunction leading to chronic hyperglycemia. Well-established corroborations have been reported in the literature …
SpeakerNet for Cross-lingual Text-Independent Speaker Verification Open
Biometrics provide an alternative to passwords and pins for authentication. The emergence of machine learning algorithms provides an easy and economical solution to authentication problems. The phases of speaker verification protocol are t…
Convolutional Neural Network Based Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Technique using Hippocampus Extracted from MRI Open
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder. Mild Cognitive Impairment (MCI) is a prodromal stage of AD and its identification is very crucial for early treatment. MCI to AD conversion is of imperative concern in…
On the Design of a Content based Image Retrieval System Open
With the abundance of multimedia content on the World Wide Web, research and learning of effectivefeature representation and similarity measures have become crucial. Image searching poses severalchallenges. Lately, many researchers have be…
A Review on Machine Learning Techniques for Software Defect Prediction Open
Software defect prediction has been an interest of research era because predicting defects on early stages improves software quality with reduced cost and effective software management. Researchers from different domains are contributing t…
An Ensemble Classifier based Leaf Recognition Approach for Plant Species Classification using Leaf Texture, Morphology and Shape Open
Plant recognition is a main problem for biologists, environmentalists and chemists. Human experts of these fields perform plant recognition manually, which requires more time and is less efficient. Plant recognition systems are used to cla…
An Ensemble of Classifiers based Approach for Prediction of Alzheimer's Disease using fMRI Images based on Fusion of Volumetric, Textural and Hemodynamic Features Open
Alzheimer's is a neurodegenerative disease caused by the destruction and death of brain neurons resulting in memory loss, impaired thinking ability, and in certain behavioral changes. Alzheimer disease is a major cause of dementia and even…
A Facial Image Analysis based Algorithm to Detect Human Personality Open
Human personality plays an essential role in many fields of life. Facial features are used for, but are not limited, to different face recognition, pain detection, spontaneous and non-spontaneous action detection and personality detection …
A Novel Approach for the Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's disease using MRI Images Open
The main objective of our research is to introduce an approach that uses noninvasive MRI images to predict the conversion from mild cognitive impairment to Alzheimer's disease at an early stage. It detects normal controls that are likely t…