Dual Feature-Based Intrusion Detection System for IoT Network Security by A. Biju, S. Wilfred Franklin

Subjects: Get full text

Enhanced security for IoT cloud environments using EfficientNet and enhanced football team training algorithm by Jian Cui, Lan Shi, Ahmed Alkhayyat

Subjects: Get full text

Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed by Boyi Tang, Jingping Zhou, Chunjiang Zhao, Yuchun Pan, Yao Lu, Chang Liu, Kai Ma, Xuguang Sun, Ruifang Zhang, Xiaohe Gu

“…Thirdly, the global attention mechanism (GAM) was employed to capture the features of maize seedlings using the dual attention mechanism of spatial and channel information. The CGS-YOLO algorithm was constructed and formed. Finally, we compared the performance of the improved algorithm with a series of deep learning algorithms, including YOLO v3, v5, v6 and v8. …”
Get full text

AB-VIP: Attack Method Using Brightness Information for Visibility Improvement of Adversarial Perturbations on the NMS Algorithm by Gwang-Nam Kim, Han-Ju Lee, Han-Jin Lee, Hyeon-Jin Jung, Seok-Hwan Choi

Subjects: Get full text

Quantitatively Detecting Camellia Oil Products Adulterated by Rice Bran Oil and Corn Oil Using Raman Spectroscopy: A Comparative Study Between Models Utilizing Machine Learning Algorithms and Chemometric Algorithms by Henan Liu, Sijia Ma, Ni Liang, Xin Wang

“…The fast and accurate quantitative detection of camellia oil products is significant for multiple reasons. …”
Get full text

Energy efficient hierarchical clustering based dynamic data fusion algorithm for wireless sensor networks in smart agriculture by Dhamodharan Srinivasan, Ajmeera Kiran, S. Parameswari, Jeevanantham Vellaichamy

Get full text

Enhancing Intelligent Road Target Monitoring: A Novel BGS-YOLO Approach Based on the YOLOv8 Algorithm by Xingyu Liu, Yuanfeng Chu, Yiheng Hu, Nan Zhao

“…To address these challenges, this paper proposes an innovative algorithmic model called BiFPN GAM SimC2f-YOLO (BGS-YOLO), aimed at improving detection performance. …”
Get full text

The Value of Clinical Decision Support in Healthcare: A Focus on Screening and Early Detection by Hendrik Schäfer, Nesrine Lajmi, Paolo Valente, Alessandro Pedrioli, Daniel Cigoianu, Bernhard Hoehne, Michaela Schenk, Chaohui Guo, Ruby Singhrao, Deniz Gmuer, Rezwan Ahmed, Maximilian Silchmüller, Okan Ekinci

Get full text

Study on User Fraud Identification of PV Expansion Based on a Bottom-Up Approach of a DELM Algorithm Improved by SSA for a Power Distribution Network by Wang Jinpeng, Wei Haojie, Dou Shunyao, Jeremy-Gillbanks, Zhao Xin

“…Finally, the proposed approach is validated both in simulation and using measurement data from real networks. The algorithm’s performance in detecting fraudulent behavior in outdated electromagnetic meters is evaluated and verified. …”
Get full text

Comparative Analysis of Machine Learning Models for Android Malware Detection by Adem Korkmaz, Selma Bulut

Subjects: “…android malware detection…”
Get full text

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography by Luke Oakden-Rayner, Catherine M Jones, John Lambert, Jarrel Seah, Cyril Tang, Quinlan D Buchlak, Michael Robert Milne, Xavier Holt, Hassan Ahmad, Nazanin Esmaili, Peter Brotchie

Get full text

A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm by Hongwei Yang, Mehdi Effatparvar

Subjects: “…Intrusion detection…”
Get full text

Detection of subclinical rheumatic heart disease in children using a deep learning algorithm on digital stethoscope: a study protocol by Huzaifa Ahmad, Zainab Bhuriwala, Muhammad Hanif, Shahab U Ansari

Get full text

Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study by Hongbo Chen, Myrtede Alfred, Andrew D Brown, Angela Atinga, Eldan Cohen

Get full text

Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah, Samah Al Zanin

“…This manuscript presents an Enhance Malicious Domain Detection Using an Attention-Based Deep Learning Model with Optimization Algorithms (EMDD-ADLMOA) technique. …”
Get full text

A Classification and Novel Class Detection Algorithm for Concept Drift Data Stream Based on the Cohesiveness and Separation Index of Mahalanobis Distance by Xiangjun Li, Yong Zhou, Ziyan Jin, Peng Yu, Shun Zhou

“…Experimental results show that the algorithm can effectively mitigate the impact of concept drift on classification and novel class detection.…”
Get full text

A New Computer-Aided Diagnosis System for Breast Cancer Detection from Thermograms Using Metaheuristic Algorithms and Explainable AI by Hanane Dihmani, Abdelmajid Bousselham, Omar Bouattane

“…Advances in the early detection of breast cancer and treatment improvements have significantly increased survival rates. …”
Get full text

Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

“…The plot of accuracy vs. number of epochs showed the obtained accuracy score 0f 1.0 which means that 100 % of points were correctly labeled by our implemented algorithm.…”
Get full text

Computationally Enhanced UAV-Based Real-Time Pothole Detection Using YOLOv7-C3ECA-DSA Algorithm by Siti Fairuz Mat Radzi, Mohd Amiruddin Abd Rahman, Muhammad Khairul Adib Muhammad Yusof, Nurin Syazwina Mohd Haniff, Romi Fadillah Rahmat

“…Although YOLO-based algorithms have been widely adopted for their speed and efficiency in object detection, achieving a balance between high accuracy and low inference time remains a challenge, particularly in scenarios involving small objects and complex features. …”
Get full text

Using machine learning algorithms (supervised) to generate automatically labeled dataset for detecting digital dating abuse from text messages by Tania Roy, Thomas Maranzatto, Zachary Loomas

“…This project aims to create a tool that raises awareness and detects digital dating from text messages. Previously, we generated a dataset with expert labelers to use supervised machine learning algorithms for abuse detection. …”
Get full text