• Detection of spatter signature for streaming data in the laser metal deposition process 

  Mu'az Imran, Muhammad; Jung, Gisun; Kim, Young; Chandratilak De Silva, Liyanage; Che Idris, Azam; Abas, Pg Emeroylariffion; Kim, Yun Bae (2023-09-20)

  In recent years, Laser Metal Deposition (LMD) has experienced significant advancements. For process monitoring purposes, in-situ sensors are often used, which tend to produce noisy data, and due to the short processing ...
• Build a Secure Network using Segmentation and Micro-segmentation Techniques 

  A. Al-Ofeishat, Hussein; Alshorman, Rafat (2023-09-20)

  Due to the increasing number of threats and attacks that threaten the network during the recent years, novel methods and techniques have been improved to secure the infrastructure of the network and the data transmitted within ...
• A FUSION Features Selection for 802.11 Wireless Intruder Detection System (WIDS) 

  Baharudin, Norzaidi; Hani Mohd Ali, Fakariah (2023-09-20)

  In this paper, we introduce FUSION (Feature Unification via Selection, Integration, and Optimization in Networks), an innovative approach amalgamating various methods for optimal feature selection in wireless intruder ...
• Comparative Analysis of 2D and 3D Convolutional Neural Networks for Medical Image Classification 

  Beulah.S, Angelin; .M, Sivagami (2023-09-20)

  Image processing in the field of modern health care has obtained a significant impact among the medical practitioners in aiding early diagnosis of diseases, treatment planning and disease monitoring. Neural Networks ...
• On the accuracy of wireless capsule endoscopy images for small intestine bleeding detection using convolutional neural network 

  Farej, Ziyad k.; Farhan Sheet, Amer; Mazin Sheet, Noora (2023-09-20)

  The detection of bleeding in the gastrointestinal tract is a critical use of wireless capsule endoscopy (WCE), a valuable diagnostic tool for examining the whole gastrointestinal tract, particularly the hard to reach small ...
• A Dynamic Indoor Localization with Movement Validation and Fingerprinting Technique under IEEE 802.15.4 Network 

  Puspitaningayu, Pradini; Funabiki, Nobuo; Huo, Yuanzhi; Panduman, Yohanes Yohanie (2023-09-20)

  The study of indoor localization has been extensively studied, either in terms of wireless technologies or localization techniques. The accuracy is then challenged when the monitored object is actively moving. Previously, ...
• Recognition using ICA and soft clustering to efficient Student Attendance Management 

  Belhabib, Fatima; Elafaar, Anass; karim, El Moutaouakil (2023-09-20)

  Efficient student attendance management is a critical aspect of educational institutions to ensure proper monitoring and engagement. This study proposes a facial recognition system utilizing Independent Component ...
• Mitigating Data Variability and Overfitting in Deep Learning Models for Atrial Fibrillation Detection Using Single-Lead ECGs 

  Benchaira, Khadidja; Bitam, Salim; Agli, Zineb Djihane (2023-09-20)

  Despite the growing potential of deep learning in diagnosing Atrial Fibrillation (Afib), challenges such as overfitting and limited generalizability continue to persist. These limitations are accentuated in single-lead ...
• Fuzzy Facial Expression Recognition and Recommendation System 

  Ul Haq, Inam; Ifraheem, Sehrish; Zulfiqar, Sidra; Farwa, Ume; Shaukat, Shumaila (2023-09-20)

  We can use Facial Expression Recognition (FER) to detect human behavior. We have several ways of measuring human behavior in various situations, such as hand gestures and others, but facial recognition is the best at the ...
• ArabAlg: A new Dataset for Arabic Speech Commands Recognition for Machine Learning Purposes 

  OUKAS, Nourredine; HABOUSSI, Samia; MAIZA, Chafik; BENSLIMANE, Nassim (2023-09-20)

  Automatic Speech Recognition (ASR) systems have witnessed significant advancements in recent years due to the emergence of deep learning techniques and the availability of large speech datasets. With the increasing demand ...
• A Survey on IOT Firmware Security 

  Katbi, Abdulkarim; Hammad, Mustafa; Ksantini, Riadh (2023-09-20)

  The recent advancements in technology and the rapid movement towards cyber-connected societies have led to the unprecedented use of Internet-of-things (IoT) devices as an effective enabler of such new trends. In fact, IoT ...
• The Use of Motion Capture Technology in 3D Animation 

  Wibowo, Mars Caroline; Nugroho, Sarwo; Wibowo, Agus (2023-09-20)

  This objective of this study is to provide a thorough overview of the process and development possibilities of motion capture (Mo-Cap), focusing on the relationship between accessibility, simplicity, and data quality. ...
• applying hybrid clustering with evaluation by AUC classification metrics 

  Fattah, Ali; Muttasher, Raed M.; Hiam, Hatim (2023-09-20)

  Traditional metrics may not adequately assess performance in certain situations, whereas Area Under the Curve (AUC) offers a comprehensive perspective by considering sensitivity and specificity. This method enhances ...
• Citrus Tree Nutrient Deficiency Classification: A Comparative Study of ANN and SVM Using Colour-Texture Features in Leaf Images 

  Kamelia, Lia; Abdul Rahman, Titik Khawa; Nurmalasari, Rin Rin; Hamdani, Kiki Kusyaeri (2023-09-20)

  Nutrient deficiency in Citrus reticulata (mandarin orange) plants causes reduced plant resistance against diseases and pests. This research presents a combined approach to identify nutrient deficiencies in Citrus Reticulata ...
• Real Time Oral Cavity Detection Leading to Oral Cancer using CNN 

  Shariff, Musaddiq; Singh S M, Pradeep; D P, Subramanyam; M H, Varun; K, Shruthi; Poornima, A S (2023-09-20)

  Oral cancer poses a substantial global health threat, as it continues to witness escalating incidence rates and consequential mortality on a widespread scale. To enhance patient outcomes, the crucial role of early detection ...
• A Stable Method for Brain Tumor Prediction in Magnetic Resonance Images using Finetuned XceptionNet 

  Sundari, Shanmuga; Divya, Yeluri; Durga, KBKS; Sukhavasi, Vidyullatha; Sugnana Rao, M.Dyva; Rani, M. Sudha (2023-09-20)

  Brain tumors can be a life-threatening condition, and early detection is crucial for effective treatment. Magnetic resonance imaging (MRI) is a valuable appliance for identifying the tumor's location, but manual detection ...
• A Novel Approach to Stock Price Direction and Price Prediction Based on News Sentiments 

  Singh, Harmanjeet; Malhotra, Manisha (2023-08-14)

  Forecasting stock trends guide investment management, financial policy, and the country’s economic growth. Investor-generated textual information has impacted stock movements across media channels in recent years. Most ...
• Glaucoma Detection Using Computer Vision and Vision Transformers 

  Karrothu, Aravind; Chunduru, Anilkumar (2023-07-14)

  Vision is one of the gifts from nature to humans. It stores visual messages and signals to the brain. Glaucoma is a high-pressure genetic disorder that relates to the human eye. It is a chronic disease often called ...
• High Impedance Fault Detection in Microgrid to Enhance Resiliency Against PMU Outage 

  Solankee, Laxman; Rai, Avinash; Kirar, Mukesh (2023-08-14)

  High-impedance fault (HIF) detection is crucial for maintaining the reliability and resiliency of microgrid systems. This research presents an adaptive machine learning approach to enhance HIF detection and improve ...
• A Hybrid Feature Selection Approach for Urinary Tract Infection Detection and Prediction in IoT-Fog Environment 

  Nagpal, Anisha; Sabharwal, Munish; Tripathi, Rohit (2023-08-14)

  Urinary Tract Infections (UTIs) are a common health issue that millions of people experience globally and a significant impact on the general health. Depending on the location and intensity of the infection, UTIs appear ...

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