23 hasil untuk "Muhammad Rashid"
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Artikel Jurnal Teks lengkap
Identification of biochemical indices for brown spot ( Bipolaris oryzae ) disease resistance in rice mutants and hybrids
Brown spot caused by Bipolaris oryzae is a major damaging fungal disease of rice which can decrease the yield and value of produce due to grain discoloration. The objectives of the current study were to investigate and understand the biochemical indices of brown spot disease resistance in rice. A…
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Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments
Deepfakes, synthetic media created using artificial intelligence, threaten the authenticity of digital content. Traditional detection methods, such as Convolutional Neural Networks (CNNs), require substantial computational resources, rendering them impractical for resource-constrained devices like…
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Intelligent recognition of human activities using deep learning techniques
Recognition of Human Actions (HAR) Portrays a crucial significance in various applications due to its ability for analyzing behaviour of humans within videos. This research investigates HAR in Red, Green, and Blue, or RGB videos using frameworks for deep learning. The model’s ensemble method…
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Fixed points of multivalued convex contractions with application
In this work, we establish fixed point outcomes for single- valued convex contraction type mappings in the context of a b-metric space. Some of the new results are extended for a multivalued convex contraction and an F-convex contraction. Thereby, an analogue of the famous Nadler’s fixed point…
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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification
Skin cancer is considered globally as the most fatal disease. Most likely all the patients who received wrong diagnosis and low-quality treatment die early. Though if it is detected in the early stages the patient has fairly good chance and the aforementioned diseases can be cured. Consequently…
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A hybrid technique for speech segregation and classification using a sophisticated deep neural network
Recent research on speech segregation and music fingerprinting has led to improvements in speech segregation and music identification algorithms. Speech and music segregation generally involves the identification of music followed by speech segregation. However, music segregation becomes a…
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OracleTrust: A dual-layer provenance-based signature verification scheme for preventing transaction malleability in blockchain
Decentralized oracle networks pose significant security risks to blockchain systems due to transaction malleability, which can lead to double-spending and integrity issues. While existing solutions such as DAON, SegWit, and SecPLF improve specific aspects of security, they do not address…
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Potent Anti-Proliferative, Pro-Apoptotic Activity of the Maytenus Royleanus Extract against Prostate Cancer Cells: Evidence in In-Vitro and In-Vivo Models
Prostate cancer is a leading of cause of cancer related death in men. Despite intensive investment in improving early diagnosis, it often escapes timely detection. Mortality remains high in advanced stage prostate cancer where palliative care remains the only option. Effective strategies are…
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Dual-model approach for concurrent forecasting of electricity prices and loads in smart grids: Comparison of sparse encoder NAR and GA-optimized LSTM
Accurate forecasting of electricity prices and loads is challenging in smart grids due to the strong interdependence between load and price. To address this, we propose two deep recurrent neural network models that forecast both load and price concurrently. The first model, Sparse Encoder Nonlinear…
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RETRACTED: A deep learning-based ensemble for autism spectrum disorder diagnosis using facial images
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A model-driven framework for data-driven applications in serverless cloud computing
In a serverless cloud computing environment, the cloud provider dynamically manages the allocation of resources whereas the developers purely focus on their applications. The data-driven applications in serverless cloud computing mainly address the web as well as other distributed scenarios, and…
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Interventions and outcomes of COVID-19 patients in a community hospital–A single center study comparing the first and second waves
Background: We have had 3 coronavirus-related pandemics in the last two decades. Each has brought significant toll and with each case there was no cure. Even as vaccines have been developed for the current strain of the virus thereby increasing the prospects of bringing transmissions in communities…
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A robust deep learning approach for impulse noise filtering using hybrid auto-encoder with fuzzy median filter
De-noising convolutional neural networks (DnCNNs), are a powerful nonlinear mapping models in image processing for impulse noise removal. During training and validation, a set of 12 standard testing images is used to evaluate model performance. DnCNNs demonstrate strong capability in classification…
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A Novel Image Retrieval Based on Visual Words Integration of SIFT and SURF
With the recent evolution of technology, the number of image archives has increased exponentially. In Content-Based Image Retrieval (CBIR), high-level visual information is represented in the form of low-level features. The semantic gap between the low-level features and the high-level image…
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Forecasting renewable energy for environmental resilience through computational intelligence
Wind power forecasting plays a key role in the design and maintenance of wind power generation which can directly help to enhance environment resilience. Offshore wind power forecasting has become more challenging due to their operation in a harsh and multi-faceted environment. In this paper, the…
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Pathogenic variants of AIPL1 , MERTK , GUCY2D , and FOXE3 in Pakistani families with clinically heterogeneous eye diseases
Significant number out of 2.2 billion vision impairments in the world can be attributed to genetics. The current study is aimed to decipher the genetic basis of Leber congenital Amaurosis (LCA), Anterior Segment dysgenesis (ASD), and Retinitis Pigmentosa (RP), segregating in four large…
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Influenza Virus Surveillance in Pakistan during 2008-2011
Background: There is little information about influenza among the Pakistani population. In order to assess the trends of Influenza-like-Illness (ILI) and to monitor the predominant circulating strains of influenza viruses, a country-wide lab-based surveillance system for ILI and Severe Acute…
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Prediction of Clinical Factors Associated with Pandemic Influenza A (H1N1) 2009 in Pakistan
Background: Influenza is a viral infection that can lead to serious complications and death(s) in vulnerable groups if not diagnosed and managed in a timely manner. This study was conducted to improve the accuracy of predicting influenza through various clinical and statistical models. Methodology…
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Proteomic characterization of adult Fasciola gigantica recovered from naturally infected buffaloes in Punjab Pakistan
Background: Fasciola gigantica (F. gigantica) is a widespread zoonotic trematode that poses a substantial burden on livestock and public health in endemic regions. Elucidating host–parasite interactions relies largely on proteomic data. Excretory-Secretory proteins (ESPs) can play central roles in…
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Comorbidity clusters and in-hospital outcomes in patients admitted with acute myocardial infarction in the USA: A national population-based study
Background: The prevalence of multimorbidity in patients with acute myocardial infarction (AMI) is increasing. It is unclear whether comorbidities cluster into distinct phenogroups and whether are associated with clinical trajectories. Methods: Survey-weighted analysis of the United States…