Huma Tauseef
YOU?
Author Swipe
Classification of pulmonary diseases from chest radiographs using deep transfer learning Open
Pulmonary diseases are the leading causes of disabilities and deaths worldwide. Early diagnosis of pulmonary diseases can reduce the fatality rate. Chest radiographs are commonly used to diagnose pulmonary diseases. In clinical practice, d…
View article: Early Detection and Classification of Apple Leaf Diseases Using Deep Learning Technique
Early Detection and Classification of Apple Leaf Diseases Using Deep Learning Technique Open
Apple leaf diseases represent a critical challenge for apple crop production, threatening both the quality and quantity of harvests. Leaves are essential to the growth and health of apple trees, as they play a pivotal role in photosynthesi…
Optimizing Urban Delimitations in Pakistan Through Exploratory Data Analytical Approach Open
In Pakistan, the lack of a standardized definition for urban areas hampers effective urban planning and policy development. Thus, this research study employs data science by integrating the Geographic Information System (GIS) employed to f…
Addressing Environmental Factors for SDG 3-Health and Wellbeing: Perceived Stress, Sleep Quality, and Coping among Medical Students in Pakistan Open
The objective of this study was to investigate the interplay between perceived stress, sleep quality, and coping mechanisms among medical students, with a view to understand their implications for Sustainable Development Goal 3 (SDG 3) - "…
Examining the Role of TV Channels in Promoting Environmental Awareness Among University Students in Pakistan: A Pathway to Sustainable Development Goals Open
As environmental crises escalate, the need for solutions becomes ever more pressing. In current situation, media outlets play a crucial role in educating the public about environmental issues. This study investigates the role of TV channel…
View article: Investigating Electronic Media's Impact on Noise Pollution Awareness Among University Students in Lahore, Bridging the Gap toward Sustainable Urban Environments
Investigating Electronic Media's Impact on Noise Pollution Awareness Among University Students in Lahore, Bridging the Gap toward Sustainable Urban Environments Open
This study investigates the influence of electronic media, particularly television, on noise pollution awareness among university students in Lahore, Pakistan. The research aims to assess the role of role of TV electronic media in raising …
Perception Of General Public Regarding Role of Tv News Channels in Highlighting Poverty Reduction Policy: Ehsaas Program-A Data-Driven Study Open
Poverty is something many people are at risk of experiencing at some point in their lives. Governments across the world have been formulating and implementing poverty reduction policies to mitigate the adverse effects of poverty on their p…
A Machine Learning Approach for Textual Sentiment Classification Open
The proliferate use of microblogs and social networks have become valuable sources to determine individuals’ opinion about an entity, product, topic, events, and politics etc. Main challenges implicated by the literature review include; co…
Heart Sound Analysis for Abnormality Detection Open
According to the World Health Organization, 31% death rate in the World is because of cardiovascular diseases like heart arrhythmia and heart failure. Early diagnosis of heart problems may help in timely treatment of the patients and hence…
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…
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…
Efficient Shape Classification using Zernike Moments and Geometrical Features on MPEG-7 Dataset Open
There is an urgent need and demand for manipulating images to extract useful information from them. In every field, whether it is biotechnology, botany, medical, robotics or machinery, the demand for extracting useful aspects of a specific…
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…
A HYBRID APPROACH FOR MAPPING SCRUM TO CAPABILITY MATURITY MODEL INTEGRATION KEY PROCESS AREAS FOR WEB ENVIRONMENT APPLICATIONS Open
Project planning and management of any software are two crucial and complex processes considering multiple key factors. Software development organizations usually use Capability Maturity Model Integration and agile methodologies to improve…
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…
A Classification Approach Based on Genetic-Data-Structuring for the Prediction of Hypertension? Open
Hypertension is known to be a major cause of death around the world. The death rate for this disease has increased up to 94% since last decade. Due to this disease, dangerous health conditions arise like heart failure, kidney failure and s…