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20 papers found.
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Data augmentation-assisted deep learning of hand-drawn partially colored sketches for visual search

manuscript significantly. Author Contributions Conceptualization: Jamil Ahmad, Sung Wook Baik. Data curation: Khan Muhammad. Funding acquisition: Sung Wook Baik. Investigation: Jamil Ahmad, Sung Wook Baik ... . Methodology: Jamil Ahmad. Software: Jamil Ahmad. Supervision: Sung Wook Baik. Validation: Sung Wook Baik. Visualization: Khan Muhammad. Writing ± original draft: Jamil Ahmad. Writing ± review & editing

SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs

and anonymous reviewers for their prolific and highly constructive comments and suggestions which improved our manuscript significantly. Conceptualization: Jamil Ahmad, Muhammad Sajjad. Formal analysis ... : Irfan Mehmood. Investigation: Jamil Ahmad. Methodology: Jamil Ahmad. Resources: Sung Wook Baik. Supervision: Sung Wook Baik. Validation: Muhammad Sajjad, Irfan Mehmood, Sung Wook Baik. Writing

Petri Net and Probabilistic Model Checking Based Approach for the Modelling, Simulation and Verification of Internet Worm Propagation

Internet worms are analogous to biological viruses since they can infect a host and have the ability to propagate through a chosen medium. To prevent the spread of a worm or to grasp how to regulate a prevailing worm, compartmental models are commonly used as a means to examine and understand the patterns and mechanisms of a worm spread. However, one of the greatest challenge is...

Analytical network process based optimum cluster head selection in wireless sensor network

Wireless Sensor Networks (WSNs) are becoming ubiquitous in everyday life due to their applications in weather forecasting, surveillance, implantable sensors for health monitoring and other plethora of applications. WSN is equipped with hundreds and thousands of small sensor nodes. As the size of a sensor node decreases, critical issues such as limited energy, computation time and...

MicroRNA pharmacogenomics based integrated model of miR-17-92 cluster in sorafenib resistant HCC cells reveals a strategy to forestall drug resistance

journals • PubMed • Google Scholar Search for Aqsa Ikram in:Nature Research journals • PubMed • Google Scholar Search for Amjad Ali in:Nature Research journals • PubMed • Google Scholar Search for Jamil ... Ahmad in:Nature Research journals • PubMed • Google Scholar Search for Abdul Khaliq Naveed in:Nature Research journals • PubMed • Google Scholar Search for Hussnain Ahmed Janjua in:Nature Research

Grid-Based Hybrid Network Deployment Approach for Energy Efficient Wireless Sensor Networks

Wireless sensor networks (WSN) empower applications for critical decision-making through collaborative computing, communications, and distributed sensing. However, they face several challenges due to their peculiar use in a wide variety of applications. One of the inherent challenges with any battery operated sensor is the efficient consumption of energy and its effect on network...

Visual saliency models for summarization of diagnostic hysteroscopy videos in healthcare systems

steganography, video summarization, diagnostic hysteroscopy, and wireless capsule endoscopy. Jamil Ahmad received his BCS degree in Computer Science from the University of Peshawar, Pakistan in 2008. He received

On the real time modeling of interlocking system of passenger lines of Rawalpindi Cantt train station

Purpose Recent advancements in technology have enabled railway organizations to shift from manual to computer based automated interlocking systems for increasing their efficiency and profits. Since automated systems are complex and interlocking systems are safety critical systems, these systems should be modeled and verified against safety requirements to weed out any design bugs...

VacSol: a high throughput in silico pipeline to predict potential therapeutic targets in prokaryotic pathogens using subtractive reverse vaccinology

Background With advances in reverse vaccinology approaches, a progressive improvement has been observed in the prediction of putative vaccine candidates. Reverse vaccinology has changed the way of discovery and provides a mean to propose target identification in reduced time and labour. In this regard, high throughput genomic sequencing technologies and supporting bioinformatics...

Modelling and Analysis of the Feeding Regimen Induced Entrainment of Hepatocyte Circadian Oscillators Using Petri Nets

Circadian rhythms are certain periodic behaviours exhibited by living organism at different levels, including cellular and system-wide scales. Recent studies have found that the circadian rhythms of several peripheral organs in mammals, such as the liver, are able to entrain their clocks to received signals independent of other system level clocks, in particular when responding...

Pangenome and immuno-proteomics analysis of Acinetobacter baumannii strains revealed the core peptide vaccine targets

Background Acinetobacter baumannii has emerged as a significant nosocomial pathogen during the last few years, exhibiting resistance to almost all major classes of antibiotics. Alternative treatment options such as vaccines tend to be most promising and cost effective approaches against this resistant pathogen. In the current study, we have explored the pan-genome of A. baumannii...

Identification of Circulating Biomarker Candidates for Hepatocellular Carcinoma (HCC): An Integrated Prioritization Approach

Hepatocellular carcinoma (HCC) is the world’s third most widespread cancer. Currently available circulating biomarkers for this silently progressing malignancy are not sufficiently specific and sensitive to meet all clinical needs. There is an imminent and pressing need for the identification of novel circulating biomarkers to increase disease-free survival rate. In order to...

On the modeling and analysis of the biological regulatory network of NF- \({\kappa }\) B activation in HIV-1 infection

Purpose The complex interactions between genetic machinery of HIV-1 and host immune cells mediate dynamic adaptive responses leading to Autoimmune Deficiency Syndrome. These interactions are captured as Biological Regulatory Network (BRN) which acts to maintain the viability of host cell machinery through feedback control mechanism which is a characteristic of complex adaptive...

Formal Modelling of Toll like Receptor 4 and JAK/STAT Signalling Pathways: Insight into the Roles of SOCS-1, Interferon-β and Proinflammatory Cytokines in Sepsis

Sepsis is one of the major causes of human morbidity and results in a considerable number of deaths each year. Lipopolysaccharide-induced sepsis has been associated with TLR4 signalling pathway which in collaboration with the JAK/STAT signalling regulate endotoxemia and inflammation. However, during sepsis our immune system cannot maintain a balance of cytokine levels and results...

Formal Modeling and Analysis of the MAL-Associated Biological Regulatory Network: Insight into Cerebral Malaria

The discrete modeling formalism of René Thomas is a well known approach for the modeling and analysis of Biological Regulatory Networks (BRNs). This formalism uses a set of parameters which reflect the dynamics of the BRN under study. These parameters are initially unknown but may be deduced from the appropriately chosen observed dynamics of a BRN. The discrete model can be...

Techniques to Obtain Good Resolution and Concentrated Time-Frequency Distributions: A Review

We present a review of the diversity of concepts and motivations for improving the concentration and resolution of timefrequencydistributions (TFDs) along the individual components of the multi-component signals. The central idea has been to obtain a distribution that represents the signal’s energy concentration simultaneously in time and frequency without blur andcrosscomponents...

High-Resolution Time-Frequency Methods' Performance Analysis

This work evaluates the performance of high-resolution quadratic time-frequency distributions (TFDs) including the ones obtained by the reassignment method, the optimal radially Gaussian kernel method, the t-f autoregressive moving-average spectral estimation method and the neural network-based method. The approaches are rigorously compared to each other using several objective...

Validity-Guided Fuzzy Clustering Evaluation for Neural Network-Based Time-Frequency Reassignment

This paper describes the validity-guided fuzzy clustering evaluation for optimal training of localized neural networks (LNNs) used for reassigning time-frequency representations (TFRs). Our experiments show that the validity-guided fuzzy approach ameliorates the difficulty of choosing correct number of clusters and in conjunction with neural network-based processing technique...

A novel HSF4 gene mutation (p.R405X) causing autosomal recessive congenital cataracts in a large consanguineous family from Pakistan

Background Hereditary cataracts are most frequently inherited as autosomal dominant traits, but can also be inherited in an autosomal recessive or X-linked fashion. To date, 12 loci for autosomal recessive cataracts have been mapped including a locus on chromosome 16q22 containing the disease-causing gene HSF4 (Genbank accession number NM_001040667). Here, we describe a family...

PCDH15 is expressed in the neurosensory epithelium of the eye and ear and mutant alleles are responsible for both USH1F and DFNB23

Recessive splice site and nonsense mutations of PCDH15, encoding protocadherin 15, are known to cause deafness and retinitis pigmentosa in Usher syndrome type 1F (USH1F). Here we report that non-syndromic recessive hearing loss (DFNB23) is caused by missense mutations of PCDH15. This suggests a genotype–phenotype correlation in which hypomorphic alleles cause non-syndromic...