38 hasil untuk "Muhammad Assam"
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Artikel Jurnal
Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications
Ultra-small object detection in UAV imagery presents significant challenges due to scale variation, environmental complexity, and computational constraints. This study introduces a quantum-inspired multi-scale object detection model designed to address these issues effectively. By integrating…
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Artikel Jurnal Teks lengkap
Comparison of Common Postoperative Complications Between Lichtenstein Open Repair and Laparoscopic Transabdominal Pre-peritoneal (TAPP) Repair for Unilateral Inguinal Hernia
Introduction Laparoscopic transabdominal pre-peritoneal (TAPP) repair is a minimally invasive technique that is becoming the procedure of choice among surgeons for inguinal hernia repair and research work is still going on comparing TAPP repair with Lichtenstein open mesh repair. The objective of…
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Artikel Jurnal
Enhancing UAV Aerial Image Analysis: Integrating Advanced SAHI Techniques With Real-Time Detection Models on the VisDrone Dataset
This research presents a groundbreaking approach in aerial image analysis by integrating the Real-Time Detection and Recognition (RT-DETR-X) model with the Slicing Aided Hyper Inference (SAHI) methodology, utilizing the VisDrone-DET dataset. Aimed at enhancing the efficiency of drone technology…
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Artikel Jurnal
Multilingual end-to-end ASR for low-resource Turkic languages with common alphabets
Abstract To obtain a reliable and accurate automatic speech recognition (ASR) machine learning model, it is necessary to have sufficient audio data transcribed, for training. Many languages in the world, especially the agglutinative languages of the Turkic family, suffer from a lack of this type of…
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Artikel Jurnal
A research on optical wireless sensor connections using non-orthogonal multiple access techniques
This research endeavor delves into the utilization of non-orthogonal multiple access (NOMA) techniques within the context of optical wireless sensor networks (OWSNs). The study entails an exploration of the viability of integrating NOMA into OWSNs and introduces a novel architectural framework that…
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Artikel Jurnal
Unveiling the Future of Oral Squamous Cell Carcinoma Diagnosis: An Innovative Hybrid AI Approach for Accurate Histopathological Image Analysis
Oral cancer poses a formidable global health threat, demanding urgent attention to combat its devastating impact. Timely detection of oral squamous cell carcinoma (OSCC) is pivotal for successful treatment and improved survival rates. However, manual histopathological analysis, reliant on the…
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Artikel Jurnal
MSEF-ImgSeg: An Intelligent Algorithm for Multi Scale Exposure Fusion Using Image Segmentation and GGIF
Multi-scale exposure fusion is a powerful approach to fuse variously low dynamic range images into a high quality image. Fine and attractive information of source images is added in the resultant image. It may yield better fusion result than the images fused by single scale exposure fusion. In…
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Artikel Jurnal Teks lengkap
DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images
Breast cancer causes hundreds of women’s deaths each year. The manual detection of breast cancer is time-consuming, complicated, and prone to inaccuracy. For Breast Cancer (BC) detection, several imaging methods are explored. However, sometimes misidentification leads to unnecessary treatment and…
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Artikel Jurnal Teks lengkap
Arithmetic optimization based secure intelligent clustering algorithm for Vehicular Adhoc Network
Vehicular Adhoc Network (VANET) suffers from the loss of perilous data packets and disruption of links due to the fast movement of vehicles and dynamic network topology. Moreover, the reliability of the vehicular network is also threatened by malicious vehicles and messages. The malicious vehicle…
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Artikel Jurnal
An Efficient Classification of MRI Brain Images
The unprecedented improvements in computing capabilities and the introduction of advanced techniques for the analysis, interpretation, processing, and visualization of images have greatly diversified the domain of medical sciences and resulted in the field of medical imaging. The Magnetic Resonance…
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Artikel Jurnal
IR-QLA: Machine Learning-Based Q-Learning Algorithm Optimization for UAVs Faster Trajectory Planning by Instructed- Reinforcement Learning
Trajectory planning for unmanned aerial vehicles (UAVs) presents a formidable challenge, particularly in environments where details about the terrain and objectives are not known beforehand. This uncertainty has propelled the adoption of UAVs across diverse sectors such as logistics, weather…
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Artikel Jurnal Teks lengkap
QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing
Cloud computing coupled with Internet of Things technology provides a wide range of cloud services such as memory, storage, computational processing, network bandwidth, and database application to the end users on demand over the Internet. More specifically, cloud computing provides efficient…
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Artikel Jurnal
A Unified Mechanism for Cloud Scheduling of Scientific Workflows
Scheduling plays a vital role in the efficient utilization of the available resources in clouds. This paper investigates the capabilities of the current scheduling algorithms of WorkFlowSim framework for processing scientific workflows. These investigations used four different sizes of workloads…
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Artikel Jurnal
A Comparative Systematic Analysis of Stakeholder’s Identification Methods in Requirements Elicitation
[Context and Motivation] Before eliciting and gathering requirements for a software project, it is considered pivotal to know about concerned stakeholders. It becomes hard to elicit the actual system requirements without identifying relevant stakeholders, leading the software project to failure…
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Artikel Jurnal
Analyzing Interdisciplinary Research Using Co-Authorship Networks
With the advancement of scientific collaboration in the 20th century, researchers started collaborating in many research areas. Researchers and scientists no longer remain solitary individuals; instead, they collaborate to advance fundamental understandings of research topics. Various bibliometric…
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Artikel Jurnal
How to punish cyber criminals: A study to investigate the target and consequence based punishments for malware attacks in UK, USA, China, Ethiopia & Pakistan
Numerous research studies have highlighted the exponential growth of malware attacks worldwide, posing a significant threat to society. Cybercriminals are becoming increasingly merciless and show no signs of pity towards individuals or organizations. It is evident that cyber criminals will stop at…
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Artikel Jurnal
A QoS-Aware Data Aggregation Strategy for Resource Constrained IoT-Enabled AMI Network in Smart Grid
Emerging Internet of Things (IoT) technologies and applications have enabled the Smart Grid Utility control center to connect, monitor, control, and exchange data between the smart appliances, smart meters (SMs), data concentrators (DCs) and control center server (CCS) over the Internet. In…
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Artikel Jurnal Teks lengkap
Exploiting Stacked Autoencoders for Improved Sentiment Analysis
Sentiment analysis is an ongoing research field within the discipline of data mining. The majority of academics employ deep learning models for sentiment analysis due to their ability to self-learn and process vast amounts of data. However, the performance of deep learning models depends on the…
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Artikel Jurnal Teks lengkap
Lung’s Segmentation Using Context-Aware Regressive Conditional GAN
After declaring COVID-19 pneumonia as a pandemic, researchers promptly advanced to seek solutions for patients fighting this fatal disease. Computed tomography (CT) scans offer valuable insight into how COVID-19 infection affects the lungs. Analysis of CT scans is very significant, especially when…
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Artikel Jurnal Teks lengkap
Face Detection & Recognition from Images & Videos Based on CNN & Raspberry Pi
The amount of multimedia content is growing exponentially and a major portion of multimedia content uses images and video. Researchers in the computer vision community are exploring the possible directions to enhance the system accuracy and reliability, and these are the main requirements for robot…