229 hasil untuk "Muhammad Muneeb"
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LSTM input timestep optimization using simulated annealing for wind power predictions
Wind energy is one of the renewable energy sources like solar energy, and accurate wind power prediction can help countries deploy wind farms at particular locations yielding more electricity. For any prediction problem, determining the optimal time step (lookback) information is of primary…
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Recent trends in chemical modification and antioxidant activities of plants-based polysaccharides: A review
The increasing consumption of plants-based polysaccharides in various industries is demanding to boost their structural and functional attributes. Functional attributes including the antioxidant behavior of plants-based polysaccharides are much important due to their meaningful transfer of…
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Characterization and antioxidant activities of polysaccharides extracted from flageolet bean pods waste
This study was conducted to purpose green and sustainable solution for agriculture waste management. Agriculture waste such as flageolet bean pods were utilized to extract polysaccharides in hot water extraction. Flageolet bean pods polysaccharides (FBPP) were characterized using UV, FTIR, NMR, TGA…
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CHRONIC TRACHOMA: COMPARISON OF AZITHROMYCIN VERSUS TOPICAL TETRACYCLINE IN RURAL SINDH POPULATION
Objective: To compare the efficacy of oral azithromycin with topical tetracycline for treating chronic trachoma in rural Sindh population of Pakistan. Study Design: Randomized Control Trial (RCT). Place and Duration of Study: CMH Pano Aqil from October 2010 to September 2013. Material and Methods…
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Management of Ankle Fractures: Does the Timing of Surgical Intervention Have an Impact on Patient Outcomes?
Introduction Orthopaedic surgeons frequently manage patients presenting with an ankle fracture. It has been observed that these injuries can be present in both young and elderly patients. Surgical intervention with open reduction and internal fixation is often performed for unstable ankle…
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Correction to: Eye‑color and Type‑2 diabetes phenotype prediction from genotype data using deep learning methods
An amendment to this paper has been published and can be accessed via the original article.
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Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods
Abstract Background Genotype–phenotype predictions are of great importance in genetics. These predictions can help to find genetic mutations causing variations in human beings. There are many approaches for finding the association which can be broadly categorized into two classes, statistical…
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20-20-20 rule: an effective method for coping with computer vision syndrome
Dear editor, As the use of electronic devices continues to escalate, computer vision syndrome is becoming increasingly prevalentarrange, especially among medical students. One of the most effective strategies to manage computer vision syndrome (CVS) is the 20-20-20 rule, in which the person shifts…
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Management of Femoral Periprosthetic Fractures: An Institutional Experience at a District General Hospital
Introduction A total hip replacement is a common procedure performed by trauma and orthopaedic surgeons. Successful outcomes in arthroplasty surgery have significantly contributed to more hip replacement procedures being performed annually. This has also increased the incidence of femoral…
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Indoor air quality monitoring in metropolitan city Lahore: Using handheld devices
Introduction: Outdoor air pollution has been considered the primary issueby scientists and environmentalists for decades. With the advancement of technology, the activities of human are shifting from outdoor to indoor, urging researchers to investigate the indoor environment. Theerefore, the focus…
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Federated Learning-Based SB-SPS Scheduling for 5G NR-V2X Under Heterogeneous Vehicular Environments
This study proposes a federated-learning-assisted sensing-based semi-persistent scheduling (SB-SPS) framework for 5G NR-V2X sidelink communication in dense and heterogeneous highway environments. Although the conventional SB-SPS enables distributed resource allocation without centralized…
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Can We Convert Genotype Sequences Into Images for Cases/Controls Classification?
Converting genotype sequences into images offers advantages, such as genotype data visualization, classification, and comparison of genotype sequences. This study converted genotype sequences into images, applied two-dimensional convolutional neural networks for case/control classification, and…
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Securing Organizational E-Voting Through Blockchain, AES Encryption, Zero-Knowledge Proofs, and AI-Based Voter Authentication on Solana
Conventional voting mechanisms deployed in both public elections and private organizational settings are increasingly vulnerable to manipulation, impersonation, and transparency deficits. This paper proposes a robust decentralized e-voting framework that integrates four complementary technologies…
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An attention-based recurrent learning model for short-term travel time prediction
With the advent of Big Data technology and the Internet of Things, Intelligent Transportation Systems (ITS) have become inevitable for future transportation networks. Travel time prediction (TTP) is an essential part of ITS and plays a pivotal role in congestion avoidance and route planning. The…
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Managmental Studies of Different Liquid Feeding Regimes for Nili-Ravi Buffalo Calves
A liquid feeding trial was carried out at the Dairy Animals Training and Research Centre, UVAS Ravi Campus, Pattoki, to explore effective methods for rearing Nili-Ravi buffalo calves using alternative feeding sources. Twenty-four (n=24) buffalo calves were divided into three groups, with eight…
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Transfer learning for genotype–phenotype prediction using deep learning models
Abstract Background For some understudied populations, genotype data is minimal for genotype-phenotype prediction. However, we can use the data of some other large populations to learn about the disease-causing SNPs and use that knowledge for the genotype-phenotype prediction of small populations…