18 results for "Muhammad Adam"
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Investigating the influence of Islamic police work engagement and ethics on the performance of Sharia police: Moderating role of Islamic leadership
Type of the article: Research Article AbstractThis study examines how Islamic work engagement, Islamic work ethics, and Sharia-based transformational leadership affect the performance of Sharia policing in Aceh, Indonesia – the only province in the country where Islamic law is formally implemented…
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Deep Learning Approaches for Automatic Livestock Detection in UAV Imagery: State-of-the-Art and Future Directions
Accurate livestock monitoring is critical for precision agriculture, supporting effective farm management, disease prevention, and sustainable resource allocation. Deep learning and remote sensing are recent technological advancements that have created auspicious opportunities for the development…
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An Experimental Analysis of Photothermal Nanocoatings for Greenhouse Energy Efficiency
Greenhouses require intensive energy input to maintain stable growing conditions, particularly in extreme climates. In prior research, we proposed a greenhouse covering coated with antimony tin oxide (ATO) nanoparticles and demonstrated through simulation that such coatings could significantly…
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Forecasting the Endemic/Epidemic Transition in COVID-19 in Some Countries: Influence of the Vaccination
Objective: The objective of this article is to develop a robust method for forecasting the transition from endemic to epidemic phases in contagious diseases using COVID-19 as a case study. Methods: Seven indicators are proposed for detecting the endemic/epidemic transition: variation coefficient…
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Virtual reality technology and operational performance: The mediating role of contextual awareness in Brimob Polda Ace
This study aims to examine the impact of the utilization of virtual reality technology on operational performance, with a focus on understanding the mediating role of contextual awareness. The research was conducted in Indonesia, specifically at the Mobile Brigade Corps (Brimob) of the Aceh…
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The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention
Word-of-mouth (WOM) has been recognized as one of the most influential forms of information transmission. Advances in information technology and the emergence of online social networking sites have changed the manner in which data is delivered. This phenomenon has an impact on consumers because…
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A Co-Infection Model for Onchocerciasis and Lassa Fever with Optimal Control Analysis
A co-infection model for onchocerciasis and Lassa fever (OLF) with periodic variational vectors and optimal control is studied and analyzed to assess the impact of controls against incidence infections. The model is qualitatively examined in order to evaluate its asymptotic behavior in relation to…
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HauBERT: A Transformer Model for Aspect-Based Sentiment Analysis of Hausa-Language Movie Reviews
In this study, we present a groundbreaking approach to aspect-based sentiment analysis (ABSA) using transformer-based models. ABSA is essential for understanding the intricate nuances of sentiment expressed in text, particularly across diverse linguistic and cultural contexts. Focusing on movie…
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Mathematical Modeling of Two Interacting Populations’ Dynamics of Onchocerciasis Disease Spread with Nonlinear Incidence Functions
The transmission dynamics of onchocerciasis in two interacting populations are examined using a deterministic compartmental model with nonlinear incidence functions. The model undergoes qualitative analysis to examine how it behaves near disease-free equilibrium (DFE) and endemic equilibrium. Using…
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An investigation of e-marketing and its effect on the consumer buying decision during COVID-19 pandemic in Aceh Province, Indonesia: A mediating role of perceived risk
Today, Coronavirus is a pandemic that has spread worldwide and causes many problems, including socio economic problems in society. Therefore, e-marketing has an essential function in acquiring new customers, generating leads, and generating revenue for your business by reaching customers interested…
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Investigating the effect of e-service quality on customer loyalty within the online marketplace during the covid-19 pandemic
This study examines the effect of the quality of e-services provided by e-commerce on customer satisfaction and loyalty during the COVID-19 pandemic. This study used a quantitative approach to involve 118 respondents who traded in online markets. The sampling method used is purposive sampling. The…
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Design Improvements of Acoustic Response of an Automotive Air Intake System
This study aims to improve the acoustic response of an automotive air intake system (AIS) using harmonics acoustics analysis system. Noise pollution imposes adverse health effects on human beings. One of the sources of noise pollution comes from the transportation sector. Combustion engines produce…
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Valorization of pineapple peel waste: Investigating cultivation conditions for bacterial cellulose production
A fresh pineapple typically produces about 40 to 50% of pineapple peels and cores. If these fruit residues are not properly treated, they can cause severe environmental issues. In fact, pineapple peels are rich in sugar content, which is suitable for use as carbon source in microbial fermentation…
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A Deep Convolutional Neural Network-Based Model for Aspect and Polarity Classification in Hausa Movie Reviews
Aspect-based sentiment analysis (ABSA) plays a pivotal role in understanding the nuances of sentiment expressed in text, particularly in the context of diverse languages and cultures. This paper presents a novel deep convolutional neural network (CNN)-based model tailored for aspect and polarity…
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Occurrence of stroke in children and young adults in Indonesia: a multicenter private hospital study
Background Most studies that estimate the occurrence of childhood stroke use heterogeneous methods and rely on International Classification of Diseases codes, a strategy that may be unreliable. Purpose This study aimed to estimate the occurrence of childhood stroke in Indonesia using imaging and…
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GeoSparseNet: A Multi-Source Geometry-Aware CNN for Urban Scene Analysis
The convolutional neural networks (CNNs) functioning on geometric learning for the urban large-scale 3D meshes are indispensable because of their substantial, complex, and deformed shape constitutions. To address this issue, we proposed a novel Geometry-Aware Multi-Source Sparse-Attention CNN…
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Mathematical Modelling of Tuberculosis Outbreak in an East African Country Incorporating Vaccination and Treatment
In this paper, we develop a deterministic mathematical epidemic model for tuberculosis outbreaks in order to study the disease’s impact in a given population. We develop a qualitative analysis of the model by showing that the solution of the model is positive and bounded. The global stability…
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Modeling COVID-19 Disease with Deterministic and Data-Driven Models Using Daily Empirical Data in the United Kingdom
The COVID-19 pandemic has had a significant impact on countries worldwide, including the United Kingdom (UK). The UK has faced numerous challenges, but its response, including the rapid vaccination campaign, has been noteworthy. While progress has been made, the study of the pandemic is important…