• Advanced Spam Filtering In Electronic Mail Using Hybrid the Mini Batch K-Means Normalized Mutual Information Feature Elimination with Elephant Herding Optimization Technique 

  Alhawamleh, Ahmad M. (2023-05-07)

  The danger posed by spam is quickly becoming more widespread in today's online environment. It results in a loss of money for both the companies and the users. There have been a lot of clever ideas made to filter out spam. ...
• Reinforcement Learning: A review 

  Moussaoui, Hanae; El akkad, Nabil; Benslimane, Mohamed (2023-05-07)

  Reinforcement learning is considered a sort of machine learning that acquires knowledge of solving problems using the trial-and-error technique. The process starts with the main actor that is the agent interacting with a ...
• An Interactive Learning System with Automated Assistance for Self-Learning User Interface Design on Android Applications 

  Syaifudin, Yan W.; Siradjuddin, Indrazno; Funabiki, Nobuo; Liliana, Dewi Y.; Kaswar, Andi B.; Mentari, Mustika; Noprianto, Noprianto; Ardyningrum, Nabilah A.; Hendryanna, Flasma V. (2023-05-07)

  The popularity of smartphone device usage has triggered the increasing demand for Android application developers in recent years. To master Android application development, students must learn various programming languages, ...
• An evolutionary quantum scrambling scheme for medical image with NEQR representation 

  Hamad, Yasameen K.; Yousuf, Ahmed Y.; Atia, Tayseer (2023-05-07)

  Image scrambling methods are necessary for initial image processes in quantum image processing applications like quantum image encryption, which increases the strength of the encryption process, and the resulting image is ...
• Spoof Detection using Sequentially Integrated Image and Audio Features 

  Chakravarty, Nidhi; Dua, Mohit (2023-05-06)

  Audio feature extraction plays a vital role in analyzing the complex nature of a signal. It entails studying the signal and determining how signals are related to one another. As a result, the performance of audio spoofing ...
• An Intelligent Encrypt/Decrypt Algorithm in IOT regarding home data Privacy and Security 

  Nourildean, Shayma W.; Mohammed, Yousra A. (2023-05-07)

  Citizens and urban settings have benefited significantly from major advances in the quality of life and services provided by smart homes. Among other things, they are fully capable of controlling physical objects in real ...
• Optimal Coverage Enhancement for Multiple UAVs Using Multi-agent Learning Technique 

  Sabogu-Sumah, Raymond; Opare, Kwasi A.; Gadze, James D D.; Kponyo, Jerry J.; Ahmed, Abdul-Rahman; Yeboah-Boateng, Ezer a.; Fianko, Edmund (2023-05-07)

  Robustness of terrestrial cellular wireless networks becomes challenging in times of disasters such as earthquakes. This paper studies the deployment of multiple Unmanned Aerial Vehicles (UAVs) above the earth's surface ...
• Classification of Mammography Images Using Deep-CNN based Feature Ensemble Approach and its Implementation on a Low-Cost Raspberry Pi 

  Bokade, Aarti N.; Shah, Ankit (2023-05-06)

  Deep Convolutional Neural Networks (Deep-CNNs) algorithms have demonstrated superior performance over different machine learning approaches in the early-stage detection of breast cancer using mammography images in recent ...
• Convolutional Neural Network (CNN) Model to Mobile Remote Surveillance System for Home Security 

  Ayad, Rana; Al-Khalidi, Farah Q. (2023-05-06)

  Every citizen wants to eliminate any potential threat to themselves or their belongings. A proper and modern surveillance system is necessary given the enormous increase in the security needs of both persons and organizations. ...
• Performability of Deep Recurrent Neural Networks for molecular sequence data 

  Kotkondawar, Roshan R.; Sutar, Sanjay R; Kiwelekar, Arvind; Wankhede, Hansraj S. (2023-05-06)

  Artificial Intelligence (AI) has appeared as a life-changing innovation in recent years transforming the conventional problem-solving strategies adopted so far. Machine Learning (ML) and Deep Learning (DL) approaches are ...
• A New Spell-Checking Approach Based on the User Profile 

  Saty, Ahmed A.; Aouragh, Si Lhoussain; Bouzoubaa, Karim (2023-05-06)

  This paper presents a new approach for spell-checking based on the user profile and that can be applied for any language. For this purpose and for the specific case of Arabic, spelling errors are studied and divided into ...
• An Efficient Stacked Deep Incremental Model for Online Streaming Video QoE Prediction 

  Elwerghemmi, Radhia; Ksantini, Riyadh (2023-05-03)

  The Quality of Experience (QoE) metric is used as a direct evaluation of customers' experiences in video streaming diffusion, which is very important for network management, especially for the optimization and the improvement ...
• A New Distinctive Methodology for the Classification of Brain MR Images Using Histogram Based Local Feature Descriptors 

  Sowjanya, Kotte; Reddy, K R.; Raveena, Merugu (2023-04-01)

  Brain tumors can develop at any location of the brain with uneven boundaries and shapes. Typically, they were increasing rapidly due to which its size approximately doubles just in twenty-five days. If they were unrecognized ...
• Defenses for Adversarial attacks in Network Intrusion Detection System - A Survey 

  N, Dhinakaran; S, Anto (2023-05-01)

  In Computer Security, Machine Learning has great impact in recent years. Ranging from spam filtering, malware analysis, and traffic analysis to network security usage of Machine Learning Algorithms are manifold. In the ...
• Deriving Halal Transaction Compliance using Weighted Compliance Scorecard (WCS) 

  Setik, Roziyani; Marjudi, Suziyanti; Ahmad, Raja M. T. R. L.; Hassan, Wan A. W.; Kassim, Aza A. M. (2023-05-01)

  The Halal transaction is the least studied field in Malaysia. The emergence of different types of fintech instigated a large surge of online transactions, in which transaction between a buyer and a seller becomes vague. ...
• A Deep Learning Based Smartphone Application for Detecting Mango Diseases and Pesticide Suggestions 

  Rahaman, Md.; Chowdhury, Musthafezur; Rahman, Md. A.; Ahmed, Humayra; Hossain, Md.; Rahman, Md. H.; Biswas, Md.; Kader, Md.; Noyan, Tanvir A.; Biswas, Milon (2023-05-01)

  Mango trees are tropical and subtropical trees that flourish in warm climates. It is a popular, tasty fruit as well as a cash crop. Farmers have a hard time selling their products when their output is reduced owing to ...
• Automatic Spoiler-Sensitive Video Preview Generation With Reinforcement Learning 

  Saxena, Mayank; Saxena, Rakhi (2023-05-01)

  With the plethora of video content uploaded to the internet each day, the amount of watchable content far exceeds the amount of time available for us to consume it. That being said, the aim of this research is not to create ...
• Pedestrian detection in thermal and color images using a new combination of saliency network and Faster R-CNN 

  Das, Amlan J.; Choudhury, Simantika; Saikia, Navajit; Rajbongshi, Subhash (2023-05-01)

  Pedestrian detection has been an important topic of research due to its increasing demand in the surveillance based applications. Thermal and color images are used to detect pedestrian under different illumination conditions. ...
• Augmentation based detection model for brain tumor using VGG 19 

  Rastogi, Deependra; Johri, Prashant; Tiwari, Varun (2023-05-01)

  Brain tumour is a serious malignancy that can lead to death. Early diagnosis is therefore essential in the therapy procedure. Deep learning advances have made a significant contribution to medical diagnostics in the ...
• A Posit based Handwritten Digits Recognition System 

  Kumar, Nitish (2023-04-30)

  This paper presents a novel design of a Posit-based handwritten digits recognition system, one of the convolutional neural network applications. Herein, LeNet and ResNet-18 based HDRS (Handwritten Digits Recognition System) ...

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