• Critical Feature Selection for Machine Learning Approaches to Detect Ransomware 

  Malik, Sachin; Shanmugam, Bharanidharan; Kannorpatti, Krishnan; Azam, Sami (2022-03-24)

  It has been nearly three decades since the first strain of ransomware surfaced online, but still, it is one of the most destructive malwares of all time, costing millions of dollars around the globe each year. Ransomware ...
• AT-ODTSA: a Dataset of Arabic Tweets for Open Domain Targeted Sentiment Analysis 

  Sahmoud, Shaaban; Abudalfa, Shadi; Elmasry, Wisam (2022-03-09)

  In the field of sentiment analysis, most of research has conducted experiments on datasets collected from Twitter for manipulating a specific language. Little number of datasets has been collected for detecting sentiments ...
• Keyboard Encryption Algorithm Based on Software Engineering Security 

  Croock, Muayad Sadik (2022-03-09)

  It is well known that nowadays the security issues in the information system are increased in noticed way. These issues include the hardware and software sides, in terms of data or information as well as the devices. One ...
• Investigation Of Suitable 5G Millimeter Wave Frequencies For Kut-City in Iraq 

  Saadoon, Hawraa J; Jamel, Thamer M; Khazal, Hasan F (2022-02-15)

  In order to design and planning for the next generation wireless communications system, for the channel, it is important to use a suitable model for predicting appropriate and optimum frequencies. This paper is regarded ...
• Consensus Multi-Health Care Systems with Optimized Quality of Measurement 

  Yousif, Noor A; Naji, Diyar J; Al-Khazraji, Ayman; Raafat, Safanah M (2022-02-15)

  A health care system (HCS) has promptly progressed owing to the increasing need for accurate reactions in seriously urgent situations of health, especially for elderly people. The well-being of patients throughout the ...
• Sounds Recognition in the Battlefield Using Convolutional Neural Network 

  Nahar, Khalid M.O.; Al-Omari, Fedaa; Alhindawi, Nouh; Banikhalaf, Mustafa (2022-02-15)

  Predicting enemy movements on the battlefield, especially when military raids occur is one of the important factors in battle winning. The enemies may be far away or hidden, but sounds are heard. Based on sounds that are ...
• The impact of using Convolutional Neural Networks in COVID-19 tasks: A Survey 

  Al-Khamees, Hussein A. A.; H. Al-Jwaid, Waleed Ridha; Al-Shamery, Eman S. (2022-02-15)

  Artificial Intelligence (AI) is considered a robust tool that is widely used in different computer tasks. Machine Learning (ML) as an essential type of AI and deep learning (DL) is merely a branch of (ML). DL can mainly ...
• A System to Notify Real-Time Radio Signal Failures and Predict the Possibility of Failures – LOST TRANSMISSION 

  Sumithraarachchi, Geethika; Ahamed, Rashid; Vithana, Nipunika (2022-02-15)

  The focal point of this work was to build a troubleshooting mobile application, which provides an alert notification when RT (Radio Transmission) failures happen at radio outstations and enables predicting the possibilities ...
• Malicious traffic Detection of DNS over HTTPS using Ensemble Machine Learning 

  Singh, Sunil Kumar; Roy, Pradeep Kumar (2022-02-15)

  As the Internet is growing very fast, the Domain Name System remains under constant attacks and day by day its vulnerability is increasing. In the cyberattacks, it has been shown that the maximum attackers make target on ...
• Identifying Duplicate Bug Records Using Word2Vec Prediction with Software Risk Analysis 

  Mahfoodh, Hussain; Hammad, Mustafa (2022-02-15)

  Reporting duplicated bugs in bug reports have serious productivity consequences on software projects. The fewer reporting of duplicated bugs, the better software maturity processes are set between the internal software ...
• A comprehensive Survey on Blockchain-Based Solutions to Combat Covid-19 Pandemic 

  El Aidos, Fatima Ezzahra; Kassab, Meryem; Benamar, Nabil; Falah, Bouchaib (2022-02-15)

  COVID-19 pandemic has taken the world by surprise in the beginning of 2020. Initially detected in Wuhan, China, the newly discovered coronavirus has spread all over the world in a short time, which pushed the World Health ...
• Impact of Weather on COVID-19 in Metropolitan Cities of Pakistan: A data-driven approach 

  Narmeen, Mehak; Khan, Hamza Wazir; Fatima, Mehak; Ghani, Fatima; Sattar, Mian Usman; Azad, Mueen-ud-Din (2022-02-15)

  The world has been drastically affected by the 2019 novel corona-virus outbreak, otherwise known as COVID-19. Pakistan is no exception to this, and the virus has rapidly spread within the country in the first quarter of ...
• A Preliminary Study on Personalized Spam E-mail Filtering Using Bidirectional Encoder Representations from Transformers (BERT) and TensorFlow 2.0 

  Iqbal, Kashif; A. Khan, Salman; Anisa, Shamim; Tasneem, Ayesha; Mohammad, Nazeeruddin (2022-02-15)

  Email security has been a major concern in for a long time. One important aspect of e-mail security is effective and efficient detection of spam e-mails, which is an added overhead in the proper functioning of modern email ...
• An Innovative Design of Low Power Binary Adder based on Switching Activity 

  Pakkiraiah, C.; Satyanarayana, Dr. R.V.S. (2022-02-15)

  A binary adder is a primary component of many high-performance architectures like Digital Signal Processing (DSP), Image Processing, and Multimedia Processing. The design of a suitable binary adder in terms of power ...
• A Taxonomy of Smart Meter Analytics: Forecasting, Knowledge Discovery, and Power Management 

  Eskandarnia, Elham M.; Al-Ammal, Hesham M. (2022-02-15)

  The field of smart meter data analytic is a relatively young field that grew because of the wealth of data generated from the use of smart meters. This data has been used for several sustainability applications including ...
• A Literature Survey on Optimization and Validation of Software Reliability using Machine Learning 

  Sabnis, Ms. Poorva Sanjay; Joshi, Dr. S.D. (2022-02-15)

  The important characteristics of a software quality assurance system is software reliability. It is the probability of error-free software process in a given environment for a given interval. A huge number of research ...
• Assistive Technology to communicate through eye blinks - A Deep learning approach 

  Sridharan, Srivatsan; V, Nirmal; Soundar, Sachin; N, Maheswari (2022-02-15)

  Paralysis is the loss of muscle control in parts of or the whole body. Only 15% of people affected by paralysis are employed, due to concerns over their ability to function properly. These patients are able to think and ...
• Covert VoIP Communication based on Audio Steganography 

  Ali, Baneen Q. Abd; Shahadi, Haider I.; Kod, Muayad S.; Farhan, Hameed R. (2022-02-15)

  Voice over Internet Protocol (VoIP) is a popular and important internet protocol for real-time voice calling. It is used in several software applications such as Skype, WhatsApp, and Google Talk. However, communications ...
• Autonomous Robot for Gas Pipeline Inspection and Leak Detection 

  Okoli, Johnson; Ubochi, Brendan (2022-02-15)

  Gas pipeline inspection and monitoring are essential to preventing rupturing with its associated human, economic and environmental costs. Currently, the popular approaches utilized in monitoring gas pipelines are expensive ...
• ClassifyWiki: An Experimental Study on Building Generic-Type Wikipedia Classifiers 

  Gerguis, Michel Naim; El-Kharashi, M. Watheq; Salama, Cherif (2022-02-15)

  This paper introduces ClassifyWiki, a framework that automatically generates Wikipedia-based text classifiers using a small set of positive training articles. ClassifyWiki aims to simplify the process of collecting hundreds ...

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