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Samiulhaq Wasiq and Amir Golroo
Road networks play a significant role in each country?s economy, especially in countries such as Afghanistan, which is strategically located in the international transit path from Europe to East Asia. In such a country, pavement performance models are fu...
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Seok-Hwan Oh, Tae-Seong Roh and Hyoung Jin Lee
This study was focused on the configuration design of a star grain by using machine learning in the optimal design process. The key to optimizing the grain design is aimed at obtaining a set of configuration variables that satisfy the requirements. The o...
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Muhammad Mateen Yaqoob, Muhammad Nazir, Muhammad Amir Khan, Sajida Qureshi and Amal Al-Rasheed
One of the deadliest diseases, heart disease, claims millions of lives every year worldwide. The biomedical data collected by health service providers (HSPs) contain private information about the patient and are subject to general privacy concerns, and t...
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T. Vamsi Nagaraju, Alireza Bahrami, Ch. Durga Prasad, Sireesha Mantena, Monalisa Biswal and Md. Rashadul Islam
The increase in population has made it possible for better, more cost-effective vehicular services, which warrants good roadways. The sub-base that serves as a stress-transmitting media and distributes vehicle weight to resist shear and radial deformatio...
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Subhan Ullah, Zahid Mahmood, Nabeel Ali, Tahir Ahmad and Attaullah Buriro
The exponential growth of the Internet of Things (IoT) has led to the rapid expansion of interconnected systems, which has also increased the vulnerability of IoT devices to security threats such as distributed denial-of-service (DDoS) attacks. In this p...
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Federico Ricci, Luca Petrucci, Francesco Mariani and Carlo Nazareno Grimaldi
To carry out increasingly sophisticated checks, which comply with international regulations and stringent constraints, on-board computational systems are called upon to manipulate a growing number of variables, provided by an ever-increasing number of re...
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Tayyab Manzoor, Hailong Pei, Zhongqi Sun and Zihuan Cheng
This paper proposes a model predictive control (MPC) approach for ducted fan aerial robots using physics-informed machine learning (ML), where the task is to fully exploit the capabilities of the predictive control design with an accurate dynamic model b...
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Habib Khan, Ijaz Ul Haq, Muhammad Munsif, Mustaqeem, Shafi Ullah Khan and Mi Young Lee
Around the world, agriculture is one of the important sectors of human life in terms of food, business, and employment opportunities. In the farming field, wheat is the most farmed crop but every year, its ultimate production is badly influenced by vario...
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Yali Zhang, Luchao Bai, Yuan Qi, Huasheng Huang, Xiaoyang Lu, Junqi Xiao, Yubin Lan, Muhua Lin and Jizhong Deng
Effective detection of rice spikelet flowering is crucial to the determination of optimal pollination timing for hybrid rice seed production. Currently, the detection of rice spikelet flowering status relies on manual observation of farmers, which has lo...
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Satoshi Kato and Shinichi Yamagiwa
Identifying the key points of a movement performed by an expert is required for beginners who want to acquire a motor skill. By repeating a learning cycle, the beginner tries the movement, focusing on the key points. We can find many guiding methods for ...
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Ameer Saleh Hussein,Rihab Salah Khairy,Shaima Miqdad Mohamed Najeeb,Haider Th.Salim Alrikabi
Pág. pp. 24 - 42
The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strate...
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Mohammed Najah Mahdi, Mohd Hazli Mohamed Zabil, Abdul Rahim Ahmad, Roslan Ismail, Yunus Yusoff, Lim Kok Cheng, Muhammad Sufyian Bin Mohd Azmi, Hayder Natiq and Hushalini Happala Naidu
Project management planning and assessment are of great significance in project performance activities. Without a realistic and logical plan, it isn?t easy to handle project management efficiently. This paper presents a wide-ranging comprehensive review ...
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Shirazush Salekin Chowdhury, Nahian Binte Hossain, Tamal Saha, Jannatul Ferdous, Md. Saniat Rahman Zishan
Pág. 134 - 142
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Riaz Ullah Khan, Xiaosong Zhang, Rajesh Kumar, Abubakar Sharif, Noorbakhsh Amiri Golilarz and Mamoun Alazab
In recent years, the botnets have been the most common threats to network security since it exploits multiple malicious codes like a worm, Trojans, Rootkit, etc. The botnets have been used to carry phishing links, to perform attacks and provide malicious...
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Shenglei Pei and Yifen Li
The proposed method can provide accurate wind turbine power curves even in the presence of outliers.
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Hitoshi Tsunashima
A track condition monitoring system that uses a compact on-board sensing device has been developed and applied for track condition monitoring of regional railway lines in Japan. Monitoring examples show that the system is effective for regional railway o...
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Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met...
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Mahdi Rezapour and Khaled Ksaibati
Road departure crashes tend to be hazardous, especially in rural areas like Wyoming. Traffic barriers could be installed to mitigate the severity of those crashes. However, the severity of traffic barriers crashes still persists. Besides various drivers ...
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Myungsung Koo and Inyeong Kwon
Gizzard shads are facing a continual decline in population, necessitating the implementation of selective gear design for effective resource management. This study aims to prevent the bycatch of young gizzard shads, a non-target fish species, and to deri...
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Yongtao Lyu, Yibiao Niu, Tao He, Limin Shu, Michael Zhuravkov and Shutao Zhou
In this paper, a new method using the backpropagation (BP) neural network combined with the improved genetic algorithm (GA) is proposed for the inverse design of thin-walled reinforced structures. The BP neural network model is used to establish the mapp...
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