• Butterfly Image Identification Using Multilevel Thresholding Segmentasi and Convolution Neural Network Classification with Alexnet Architecture 

  Abdul Fadlil; Maftukhah, Ainin; Sunardi; Sutikno, Tole (2024-04-14)

  Butterflies form a large group called Lepidoptera. Butterflies play an important role in the ecosystem so the lack of knowledge about butterfly species is a problem. Since butterflies are a natural phenomenon and can serve ...
• Mapping Crop Types At a 10 m Scale Using Sentinel-2 Data and Machine Learning Methods 

  Khan, Atiya; H. Patil, Chandrashekhar; D. Vibhute, Amol; Mali, Shankar (2024-04-08)

  Crop classification plays a vital role in crop status monitoring, crop area estimation, and food production. Remote sensing data is widely accepted for crop classification at remote locations. However, crop classification ...
• Hybrid K-means and Principal Component Analysis (PCA) for Diabetes Prediction 

  Abed Mohammed, Ahmed; Sumari, Putra; Attabi, kassem (2024-04-08)

  Diabetes is the ”silent killer,” stealing the lives of millions of people worldwide. There are many reasons for diabetes, such as increasing glucose, Cholesterol, systolic BP, and Age. These are considered to be the four ...
• Efficient Neuro-Fuzzy based Relay Selection in IoT-enabled SDWSN 

  M R, Poornima; H S, Vimala; J, Shreyas (2024-04-08)

  The Internet of Things is made up of wireless sensor devices (nodes) that work together to create a dynamic network without central management or continuous assistance. High mobility sensor nodes cause periodic ...
• Emotion Infused Rumour Detection model using LSTM 

  Sharma, Osheen; Sethi, Monika; Ahuja, Sachin (2024-04-08)

  Twitter is a highly favored platform for sharing brief messages, known as tweets, read and shared among users at a rapid pace. Hence, the dissemination of information occurs quickly within the community of users in network. ...
• Strengthening security in cryptographic protocols in the era of quantum computers 

  TOUIL, Hamza; EL AKKAD, Nabil; SATORI, Khalid (2024-04-08)

  This research addresses the escalating security concerns associated with the rapid evolution of quantum computers. With quantum advancements posing potential threats to traditional cryptographic schemes, our study aims ...
• A Comprehensive AutoML Solution for Automated Data Preprocessing and Model Deployment 

  N, Palanivel; B, Vigneshwaraan; B, Sobanraj; P, Ragavan (2024-04-08)

  An important turning point in the field of machine learning has been reached with the convergence of data preparation and automated machine learning (AutoML). AutoML has become a reliable solution for tackling major ...
• A secure and reliable framework for explainable artificial intelligence (XAI) in smart city applications 

  Al Garni, Mohammad; Mishra, Shailendra (2024-04-08)

  Living in a smart city has many advantages, such as improved management of waste and water, access to quality healthcare facilities, effective and safe transportation systems, and personal protection. When a system is ...
• Encryption Technique Using a Mixture of Hill Cipher and Modified DNA for Secure Data Transmission 

  Ali Ameen, Kameran; khalid Abdulwahab, Walled; Najm Aldeen Taher, Yalmaz (2024-04-08)

  The 21st century has seen an explosion of information due to the quick development of technology, making information a far more crucial strategic resource. In addition, there has been a development in hackers’ ability to ...
• Design of an Iterative Method for Enhanced Recommender Systems Incorporating Hybrid Filtering, Matrix Factorization, and Deep Learning with Attention Mechanisms 

  Hariyale, Indu; Raghuwanshi, Mukesh. (2024-04-08)

  This research critically examines the pertinence of advanced recommender systems in tandem with the burgeoning ecommerce and content streaming domains. Traditional recommendation systems falter in cold-start scenarios, ...
• BIOSIGNALS BASED SMOKING STATUS PREDICTION USING STANDARD AUTOENCODER AND ARTIFICIAL NEURAL NETWORK 

  Palanivel, N.; Deivanai, S.; Lakshmi Priya, G.; Sindhuja, B. (2024-04-08)

  Smoking is still a major global health concern since it causes a host of illnesses and early deaths around the globe. Utilizing biosignals to predict smoking status can yield insightful information for tailored interventions ...
• Novel Approach for Protecting Personal Sensitive Information in a Cloud Storage Environment 

  Mohammed, El Moudni; Ziyati, El Houssine (2024-04-08)

  With the growing adoption of cloud computing and the increasing popularity of digital technologies, personal data storage and processing in cloud environments has become essential. However, as organizations and individuals ...
• Modulith Architecture: Adoption Patterns, Challenges, and Emerging Trends 

  AIT SAID, Mehdi; BELOUADDANE, Lahcen; MIHI, Soukaina; EZZATI, Abdellah (2024-04-08)

  Over the past year, the software architecture field has been dominated by the contrast between microservices and monolithic architectures, driven by the demand for scalable solutions for modern applications. Microservices, ...
• Performance Evaluation for Face Mask Detection Based on Mult Modification of Yolov8 Architecture 

  Jaffer AI-Shamdeen, Muna; Mahmood Ramo, Fawziya (2024-04-08)

  This work aims to engineer a robust system capable of real-time detection, accurately discerning individuals who are either adhering to or neglecting face mask mandates, across a diverse range of scenarios encompassing ...
• Advanced Heterogeneous Ensemble Voting Mechanism with GRFOA based Feature Selection for Emotion Recognition from EEG Signal Analysis 

  Aluvalu, Rajanikanth; Asha, V.; J Anandhi, R; Prasad Kantipudi, MVV; Bali, Jyoti; Bhanja, Mousumi (2024-04-08)

  Important features of electroencephalogram (EEG) that underlie emotional brain processes include high temporal resolution and asymmetric spatial activations. Unlike voice signals or facial expressions, which are easily ...
• Long-term User Engagement in Recommender Systems: A Review 

  Edem, Swathi; V Ram Naresh Yadav, B (2024-04-08)

  The use of recommender systems is considered to be highly significant in our day-to-day life. The feed streaming approach has been used to a considerable degree inside the recommender system because of its effectiveness. ...
• Enhancing IoT Intrusion Detection with XGBoost-Based Feature Selection and Deep Neural Networks 

  Fadhil Mohammed, Ahmed; Saad Rubaidi, Zainab (2024-04-08)

  The Internet of Things (IoT) networks face noteworthy vulnerabilities to cyber-attacks, mainly restricting from the widespread integration of interconnected smart devices. To protect these networks, robust Intrusion ...
• A Combined Deep Cnn-Lstm Network For Sketch Recognition 

  EL Mouna, Lale; Silkan, Hassan; C´edric Koumetio Tekouabou, St´ephane; Hanyf, Youssef; Cheikh tourad, Mohamedou; Farouk Nanne, Mohamedade (2024-04-08)

  Automating freehand sketches is a complex process due to their diverse and abstract characteristics. Recently, there has been significant interest among researchers in machine learning algorithms, owing to their emergence. ...
• Rapid Navigation Optimization - based Deep Convolutional Neural Network for COVID-19 Detection Using CT Scans 

  Sawant, Priya; Sreemathy, R (2024-04-08)

  In December 2019 a highly infectious virus named ‘Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) sparked a global pandemic. Deep Neural Networks have been extensively used to develop intelligent systems for ...
• Enhancing Data Consistency via a Context-Aware Dynamic Adaptive Model 

  Mahfoud, Zohra; Nouali-Taboudjemat, Nadia (2024-04-08)

  This paper introduces a new model for managing data consistency in large-scale, geo-distributed storage systems, pivoting on the concept of dynamic adaptive consistency. Recognizing the challenges in balancing consistency ...

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