Kamarul Hawari Ghazali
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View article: Intelligent prediction of air quality index based on the transformer-BiLSTM model
Intelligent prediction of air quality index based on the transformer-BiLSTM model Open
Air quality significantly impacts public health, industrial stability, and timely responses to environmental hazards, all of which are essential for sustainable development. Accurate forecasting of the Air Quality Index (AQI) is therefore …
View article: 4K Mokaya: Innovative Seri Kaya for Vegetarians
4K Mokaya: Innovative Seri Kaya for Vegetarians Open
Moringa, also known as drumstick tree, is a plant well-known for its rich nutritional profile and has been the subject of numerous studies exploring its potential health benefits. This study focuses on the innovation of a new food product,…
View article: Classification of GNSS Signals for Land Deformation Detection Based on Signal Processing Techniques
Classification of GNSS Signals for Land Deformation Detection Based on Signal Processing Techniques Open
Global Navigation Satellite System (GNSS) technology encompasses various satellite navigation systems, including GPS, GLONASS, Beidou, and Galileo, providing positioning with global coverage and enabling users to determine their location a…
View article: ADVANCES IN FISH TRACKING TECHNOLOGIES FOR AQUACULTURE: OVERCOMING CHALLENGES AND SHAPING FUTURE RESEARCH
ADVANCES IN FISH TRACKING TECHNOLOGIES FOR AQUACULTURE: OVERCOMING CHALLENGES AND SHAPING FUTURE RESEARCH Open
Aquaculture is essential for developing countries to have food security and for fishermen's socioeconomic conditions to improve. Fish tracking is essential to intelligent fish farming since it helps with health assessments, behavior monito…
View article: Accurate Localization Method Combining Optimized Hybrid Neural Networks for Geomagnetic Localization with Multi-Feature Dead Reckoning
Accurate Localization Method Combining Optimized Hybrid Neural Networks for Geomagnetic Localization with Multi-Feature Dead Reckoning Open
Location-based services provide significant economic and social benefits. The ubiquity, low cost, and accessibility of geomagnetism are highly advantageous for localization. However, the existing geomagnetic localization methods suffer fro…
View article: Integrating Time Series Decomposition and Deep Learning: An STL-TCN-Transformer Framework for Landslide Displacement Prediction
Integrating Time Series Decomposition and Deep Learning: An STL-TCN-Transformer Framework for Landslide Displacement Prediction Open
Accurate prediction of landslide displacement is crucial for disaster prevention and mitigation. This study proposes an STL-TCN-Transformer model that combines time series decomposition with deep learning to predict cumulative displacement…
View article: Vacuum pressure comparison of cupping therapy device using multiple cups for cupping therapy improvements
Vacuum pressure comparison of cupping therapy device using multiple cups for cupping therapy improvements Open
This study attempts to compare the difference in negative pressure values using a commercially available phlegm suction device. The device was modified to enhance its suction capability of performing up to 8 cups simultaneously. First, neg…
View article: Deep Neural Network-Based Fusion Localization Using Smartphones
Deep Neural Network-Based Fusion Localization Using Smartphones Open
Indoor location-based services (LBS) have tremendous practical and social value in intelligent life due to the pervasiveness of smartphones. The magnetic field-based localization method has been an interesting research hotspot because of i…
View article: Oil Palm USB (Unstripped Bunch) Detector Trained on Synthetic Images Generated by PGGAN
Oil Palm USB (Unstripped Bunch) Detector Trained on Synthetic Images Generated by PGGAN Open
Identifying Unstriped Bunches (USB) is a pivotal challenge in palm oil production, contributing to reduced mill efficiency. Existing manual detection methods are proven time-consuming and prone to inaccuracies. Therefore, we propose an inn…
View article: Magnetoresistance and magneto-plasmonic sensors for the detection of cancer biomarkers: A bibliometric analysis and recent advances
Magnetoresistance and magneto-plasmonic sensors for the detection of cancer biomarkers: A bibliometric analysis and recent advances Open
The conventional approaches to diagnosing cancer are expensive, often involve exposure to radiation, and struggle to identify early-stage lung cancer. As a result, the five-year survival rate is significantly reduced. Fortunately, promisin…
View article: Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning
Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning Open
Accurate location information has significant commercial and economic value as they are widely used in intelligent manufacturing, material localization and smart homes. Magnetic sequence-based approaches show great promise mainly due to th…
View article: Detection of Kidney Complications Relevant Concentrations of Ammonia Gas Using Plasmonic Biosensors: A Review
Detection of Kidney Complications Relevant Concentrations of Ammonia Gas Using Plasmonic Biosensors: A Review Open
Kidney-related health problems cause millions of deaths around the world annually. Fortunately, most kidney problems are curable if detected at the earliest stage. Continuous monitoring of ammonia from exhaled breath is considered as a rep…
View article: Early Bacterial Detection in Bloodstream Infection using Deep Transfer Learning Algorithm
Early Bacterial Detection in Bloodstream Infection using Deep Transfer Learning Algorithm Open
An infection caused by bacteria can lead to severe complications affecting bloodstream disease. At present, blood cultures are used to identify bacteria. However, blood culture is a time-consuming and labor-intensive method of diagnosing d…
View article: Optimized Range-Free Localization Scheme Using Autonomous Groups Particles Swarm Optimization for Anisotropic Wireless Sensor Networks
Optimized Range-Free Localization Scheme Using Autonomous Groups Particles Swarm Optimization for Anisotropic Wireless Sensor Networks Open
Location information is a required concern for localization-based service application in the field of wireless sensor networks (WSNs). Distance Vector-Hop (DV-Hop) algorithm as the most typical range-free localization scheme is more suitab…
View article: Walking Speed Classification from Marker-Free Video Images in Two-Dimension Using Optimum Data and a Deep Learning Method
Walking Speed Classification from Marker-Free Video Images in Two-Dimension Using Optimum Data and a Deep Learning Method Open
Walking speed is considered a reliable assessment tool for any movement-related functional activities of an individual (i.e., patients and healthy controls) by caregivers and clinicians. Traditional video surveillance gait monitoring in cl…
View article: Learning Augmented Memory Joint Aberrance Repressed Correlation Filters for Visual Tracking
Learning Augmented Memory Joint Aberrance Repressed Correlation Filters for Visual Tracking Open
With its outstanding performance and tracking speed, discriminative correlation filters (DCF) have gained much attention in visual object tracking, where time-consuming correlation operations can be efficiently computed utilizing the discr…
View article: Sustainable Oil Palm Resource Assessment Based on an Enhanced Deep Learning Method
Sustainable Oil Palm Resource Assessment Based on an Enhanced Deep Learning Method Open
Knowledge of the number and distribution of oil palm trees during the crop cycle is vital for sustainable management and predicting yields. The accuracy of the conventional image processing method is limited for the hand-crafted feature ex…
View article: Performance Comparison of Deep Learning Models to Detect Covid-19 Based on X-Ray Images
Performance Comparison of Deep Learning Models to Detect Covid-19 Based on X-Ray Images Open
The SARS-Cov-2 outbreak caused by a coronavirus infection shocked dozens of countries. This disease has spread rapidly and become a new pandemic, a serious threat and even destroys various sectors of life. Along with technological developm…
View article: Oil palm unstripped bunch detector using modified faster regional convolutional neural network
Oil palm unstripped bunch detector using modified faster regional convolutional neural network Open
The palm oil processing industry in Malaysia and Indonesia is significant and plays a vital role in the community's welfare. The efficiency of palm oil mills is characterized by the low number of unstripped bunch (USBs), so USB detection i…
View article: Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification
Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification Open
Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals …
View article: Optimized Adaptive Neuro‐Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction
Optimized Adaptive Neuro‐Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction Open
Deformation of ground during tunnelling projects is one of the complex issues that is required to be monitored carefully to avoid the unexpected damages and human losses. Accurate prediction of ground settlement (GS) is a crucial concern f…
View article: A Survey on DV-Hop localization Techniques in Three- Dimensional Wireless Sensor Networks
A Survey on DV-Hop localization Techniques in Three- Dimensional Wireless Sensor Networks Open
Location information is prerequisite for wireless sensor networks (WSNs) monitoring and control applications, since there is no meaning without position information for collected data. Distance vector hop (DV-Hop) localization algorithm as…
View article: A Hybrid Range-free Algorithm Using Dynamic Communication Range for Wireless Sensor Networks
A Hybrid Range-free Algorithm Using Dynamic Communication Range for Wireless Sensor Networks Open
Location plays a backbone role in networks, since it will great influence basic wireless sensor networks (WSNs) architecture. Distance-Vector Hop (DV-Hop) is a representative range-free localization algorithm, which is widely utilized to l…
View article: Introduction to the Special Issue on Smart Sensors for Scalable Computing
Introduction to the Special Issue on Smart Sensors for Scalable Computing Open
Various ICT applications, whether for city infrastructures, factories, or wearable devices, use large arrays of sensors collecting data for transmission over the Internet to a central, cloud-based computing resource. Analytics software run…
View article: EMG Activity of Leg Muscles with Knee Pain during Islamic Prayer (Salat)
EMG Activity of Leg Muscles with Knee Pain during Islamic Prayer (Salat) Open
Knee pain often disrupts the performance of Islamic prayer (Salat). Development of rehabilitation tool for Muslim population with knee pain has become an increasing demand. Electromyogrpahic (EMG) activity of knee muscles may be an assessm…