3,158 results for "Muhammad"
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Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading
This paper presents a novel approach to enhance the accuracy of patch-level Gleason grading in prostate histopathology images, a critical task in the diagnosis and prognosis of prostate cancer. This study shows that the Gleason grading accuracy can be improved by addressing the prevalent issue of…
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Evolution of basic human values orientations: An application of monitoring changes in cluster solutions
This study enumerates the evolution of basic human values orientations and the dynamic relationship between them, computed from Schwartz’s value survey conducted in European nations. For this purpose, eight datasets related to the human value scale were extracted from the European Social Survey…
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The least sample size essential for detecting changes in clustering solutions of streaming datasets
The clustering analysis approach treats multivariate data tuples as objects and groups them into clusters based on their similarities or dissimilarities within the dataset. However, in modern world, a significant volume of data is continuously generated from diverse sources over time. In these…
From your institution’s collections
- Soal dan penyelesaian arus bolak balik - 1Muhammad · 2000 · UNILAK
- METODE PENELITIAN BAHASAMuhammad · 2016 · UNILAK
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Contextual image caption creation using object positional embedding and generative models
Automated image captioning remains a challenge, as it enables machines to generate context-aware textual descriptions of visual content. Traditional deep learning approaches often rely on lexical overlap and fail to capture semantic relationships among objects, leading to captions that lack…
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Time Dependent MHD Nano-Second Grade Fluid Flow Induced by Permeable Vertical Sheet with Mixed Convection and Thermal Radiation
The aim of present paper is to study the series solution of time dependent MHD second grade incompressible nanofluid towards a stretching sheet. The effects of mixed convection and thermal radiation are also taken into account. Because of nanofluid model, effects Brownian motion and thermophoresis…
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On designing a new cumulative sum Wilcoxon signed rank chart for monitoring process location
In this paper, ranked set sampling is used for developing a non-parametric location chart which is developed on the basis of Wilcoxon signed rank statistic. The average run length and some other characteristics of run length are used as the measures to assess the performance of the proposed scheme…
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Investigation of mechanical and thermal behavior of fiber-reinforced silica xerogel composites
Silica aerogels or xerogels are renowned dried gels with low density, high surface area, higher porosity, and better thermal stability which makes it suitable for aerospace, light weight structures, thermal insulation, and hydrophobic coatings. But brittle behaviour, low mechanical strength, and…
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Structure based screening and molecular docking with dynamic simulation of natural secondary metabolites to target RNA-dependent RNA polymerase of five different retroviruses
Viral diseases pose a serious global health threat due to their rapid transmission and widespread impact. The RNA-dependent RNA polymerase (RdRp) participates in the synthesis, transcription, and replication of viral RNA in host. The current study investigates the antiviral potential of secondary…
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An intelligent spam detection framework using fusion of spammer behavior and linguistic
The diverse types of fake text generation practices by spammer make spam detection challenging. Existing works use manually designed discrete textual or behavior features, which cannot capture complex global semantics of text and reviews. Some studies use limited features while neglecting other…
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Identification of homozygous missense variant in SIX5 gene underlying recessive nonsyndromic hearing impairment
Hearing impairment (HI) is a heterogeneous condition that affects many individuals globally with different age groups. HI is a genetically and phenotypically heterogeneous disorder. Over the last several years, many genes/loci causing rare autosomal recessive and dominant forms of hearing…
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Enhanced rice leaf disease classification via contour-driven segmentation and optimized deep transfer learning architectures
Pakistan is the fourth-largest rice producer and the fifth-largest exporter worldwide. Timely disease detection remains challenging due to the scale of cultivation and reliance on manual monitoring. Developing reliable, ongoing computerized systems for plant health management is essential for…
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Evaluation of clinical manifestations, health risks, and quality of life among women with polycystic ovary syndrome
This study aimed to evaluate the clinical manifestations and health risks associated with polycystic ovary syndrome (PCOS) and its impact on quality of life (QOL) in Pakistan. A detailed cross-sectional study was conducted on PCOS among women of reproductive age visiting the gynecology and…
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Theoretical framework for a decision support system for micro-enterprise supermarket investment risk assessment using novel picture fuzzy hypersoft graph
Risk evaluation has always been of great interest for individuals wanting to invest in various businesses, especially in the marketing and product sale centres. A finely detailed evaluation of the risk factor can lead to better returns in terms of investment in a particular business. Considering…
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TCP BBR-n interplay with modern AQM in Wireless-N/AC networks: Quest for the golden pair
Effective congestion control on the internet has been a problem since its inception. Transmission Control Protocol (TCP), being the most widely used transport layer protocol tries to mitigate it using a variety of congestion control algorithms. Cubic, Reno, and Bottleneck Bandwidth and Round-trip…
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TCP BBR-n: Increased throughput for wireless-AC networks
Google proposed a new TCP congestion control algorithm (CCA), Bottleneck Bandwidth and Round-trip propagation time (BBR) which has opened up new dimensions in congestion control. BBR tries to operate near Kleinrock’s operating point to avoid excessive queue formation at the bottleneck and to use…
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Optimization of satellite-based communication links
Satellite communication (SATCOM) is crucial for global connectivity, particularly in remote far-flung areas. Typically, these links are established by connecting a Satcom Remote Terminal to a Satcom Hub Station. However, relying on a single Hub Station does not offer redundancy, leaving remote…
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BIN overlap confirms transcontinental distribution of pest aphids (Hemiptera: Aphididae)
DNA barcoding is highly effective for identifying specimens once a reference sequence library is available for the species assemblage targeted for analysis. Despite the great need for an improved capacity to identify the insect pests of crops, the use of DNA barcoding is constrained by the lack of…
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ViT-Stain: Vision transformer-driven virtual staining for skin histopathology via global contextual learning
Current virtual staining approaches for histopathology slides use convolutional neural networks (CNNs) and generative adversarial networks (GANs). These approaches rely on local receptive fields, struggle to capture global context, and long-range tissue dependencies. This limitation can introduce…
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Forecasting COVID-19 in Pakistan
Objectives: Forecasting epidemics like COVID-19 is of crucial importance, it will not only help the governments but also, the medical practitioners to know the future trajectory of the spread, which might help them with the best possible treatments, precautionary measures and protections. In this…
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Statistical analysis of Covid-19 mortality rate via probability distributions
Among other diseases, Covid 19 creates a critical situation around the world. Five layers have been recorded so far, resulting in the loss of millions of lives in different countries. The virus was thought to be contagious, so the government initially severely forced citizens to keep a distance…
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