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Multidisciplinary & Other Peer-Reviewed PDF DOI

Research Trends, Challenges, and Emerging Topics in Digital Forensics: A Review of Reviews

Fran Casino, Thomas K. Dasaklis, Georgios P. Spathoulas, Marios Anagnostopoulos, Amrita Ghosal, Istvan Borocz, Agusti Solanas, Mauro Conti, Constantinos Patsakis · 2022

Due to its critical role in cybersecurity, digital forensics has received significant attention from researchers and practitioners alike. The ever increasing sophistication of modern cyberattacks is d…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Autonomous Convoying: A Survey on Current Research and Development

Saeid Nahavandi, Shady Mohamed, Ibrahim Hossain, Darius Nahavandi, Syed Moshfeq Salaken, Mohammad Rokonuzzaman, Rachael Ayoub, Robin Smith · 2022

Convoying or platooning with a fleet of autonomous vehicles, which is denoted as autonomous convoying in this paper, has attracted increasing attention from the research communities, governments, and …

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Computer Science Peer-Reviewed PDF DOI

Robust Network Intrusion Detection System Based on Machine-Learning With Early Classification

Taehoon Kim, Wooguil Pak · 2022

Network Intrusion Detection Systems (NIDSs) using pattern matching have a fatal weakness in that they cannot detect new attacks because they only learn existing patterns and use them to detect those a…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

PersianQuAD: The Native Question Answering Dataset for the Persian Language

Arefeh Kazemi, Jamshid Mozafari, Mohammad Ali Nematbakhsh · 2022

Developing Question Answering systems (QA) is one of the main goals in Artificial Intelligence. With the advent of Deep Learning (DL) techniques, QA systems have witnessed significant advances. Althou…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Automated Heart Valve Disorder Detection Based on PDF Modeling of Formant Variation Pattern in PCG Signal

Monjur Morshed, Shaikh Anowarul Fattah, Mohammad Saquib · 2022

Heart valve disorder (HVD) analysis from heart sound is being well known for a long period of time, and use of digital stethoscope gives opportunity to diagnose HVDs from phonocardiographic (PCG) sign…

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Engineering Peer-Reviewed PDF DOI

An Active and Reactive Power Controller for Battery Energy Storage System in Microgrids

Jun-Ting Gao, Chang-Heng Shih, Chun-Wei Lee, Kuo-Yuan Lo · 2022

Battery energy storage systems (BESS) are widely used for renewable energy applications, especially in stabilizing the power system with ancillary services. The objective of this paper is to propose a…

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Engineering Peer-Reviewed PDF DOI

Magnetic Field and Temperature Dual-Parameter Sensor Based on Nonadiabatic Tapered Microfiber Cascaded With FBG

Yuxiu Zhang, Shengli Pu, Yongxi Li, Zijian Hao, Dihui Li, Shaokang Yan, Min Yuan, Chencheng Zhang · 2022

A kind of dual-parameter sensor based on magnetic-fluid-coated nonadiabatic tapered microfiber (NTF) cascaded with fiber Bragg grating (FBG) is proposed and experimentally demonstrated. Simultaneous m…

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AI & Data Science Peer-Reviewed PDF DOI

A Deep Learning Approach for IoT Traffic Multi-Classification in a Smart-City Scenario

Aroosa Hameed, John Violos, Aris Leivadeas · 2022

As the number of Internet of Things (IoT) devices and applications increases, the capacity of the IoT access networks is considerably stressed. This can create significant performance bottlenecks in v…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Phu N. Tran, Hoang Q. V. Nguyen, Duc-Thinh Pham, Sameer Alam · 2022

Aircraft trajectory prediction is a challenging problem in air traffic control, especially for conflict detection. Traditional trajectory predictors require a variety of inputs such as flight-plans, a…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Transverse Flux Machine—A Review

Benedikt Kaiser, Nejila Parspour · 2022

For applications with high torque demand, gearboxes are commonly used to convert torque and speed in order to receive higher specific values for torque and power. This causes additional losses, cost, …

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AI & Data Science Peer-Reviewed PDF DOI

Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey

Huiliang Zhang, Sayani Seal, Di Wu, Francois Bouffard, Benoit Boulet · 2022

Building energy management has been recognized as of significant importance on improving the overall system efficiency and reducing the greenhouse gas emission. However, the building energy management…

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AI & Data Science Peer-Reviewed PDF DOI

Comparative Study of Optimum Medical Diagnosis of Human Heart Disease Using Machine Learning Technique With and Without Sequential Feature Selection

Ghulab Nabi Ahmad, Shafi Ullah, Abdullah Algethami, Hira Fatima, Syed Md. Humayun Akhter · 2022

Predicting heart disease is regarded as one of the most difficult challenges in the health-care profession. To predict cardiac disease, researchers employed a variety of algorithms including LDA, RF, …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem

Abeer S. Desuky, Yomna M. Elbarawy, Samina Kausar, Asmaa Hekal Omar, Sadiq Hussain · 2022

The imbalanced datasets and their classification has pulled in as a hot research topic over the years. It is used in different fields, for example, security, finance, health, and many others. The imba…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Anomalous Radio Frequency Conductivity and Sheet Resistance of 2D Ti3C2Tx MXene

Md. Abu Saleh Tajin, Kapil R. Dandekar · 2022

In this paper, we demonstrate the anomalous radio frequency (RF) performance of a 2D nanomaterial, Ti 3 C 2 T x MXene, by extracting conductivity and sheet resistance at both direct current (DC) and …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction

Marouane Tliba, Mohamed A. Kerkouri, Bashir Ghariba, Aladine Chetouani, Arzu Coltekin, Mohamed Sami Shehata, Alessandro Bruno · 2022

Human visual Attention modelling is a persistent interdisciplinary research challenge, gaining new interest in recent years mainly due to the latest developments in deep learning. That is particularly…

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Engineering Peer-Reviewed PDF DOI

Permanent Magnet Vernier Machines for Direct-Drive Offshore Wind Power: Benefits and Challenges

Dileep Kumar Kana Padinharu, Guang-Jin Li, Zi-Qiang Zhu, Richard Clark, Arwyn Thomas, Ziad Azar, Alexander Duke · 2022

Permanent magnet Vernier (PM-V) machines, at low power levels (few kWs), have shown a great potential to improve the torque density of existing direct-drive PM machines without much compromising on ef…

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Computer Science Peer-Reviewed PDF DOI

A Genetic Algorithm-Based Approach for Fluctuating QoS Aware Selection of IoT Services

Karima Khadir, Nawal Guermouche, Amal Guittoum, Thierry Monteil · 2022

In recent years, the Internet of Things (IoT) has evolved at an exceptional speed, which enables to interconnect a very large number of heterogeneous, distributed, and mobile devices. This number will…

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Computer Science Peer-Reviewed PDF DOI

Automated Software Test Data Generation With Generative Adversarial Networks

Xiujing Guo, Hiroyuki Okamura, Tadashi Dohi · 2022

With the rapid increase of software scale and complexity, the cost of traditional software testing methods will increase faster than the scale of software. In order to improve test efficiency, it is p…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Codebook Designs for Millimeter-Wave Communication Systems in Both Low- and High-Mobility: Achievements and Challenges

Semah Mabrouki, Iyad Dayoub, Qianrui Li, Marion Berbineau · 2022

More connectivity, higher data rates, more reliability, massive network capacity, higher performance and fewer delays are required in the fifth generation (5G) of cellular networks. The last ten years…

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AI & Data Science Peer-Reviewed PDF DOI

FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis

Younghoon Ban, Sunjun Lee, Dokyung Song, Haehyun Cho, Jeong Hyun Yi · 2022

To handle relentlessly emerging Android malware, deep learning has been widely adopted in the research community. Prior work proposed deep learning-based approaches that use different features of malw…

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