Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

1,059 results for “Detection”
Set a search alert
Research ArticleOpen accessEvery word in the titlePreventing Deforestation in the Indian Landscape Through Neural Network-Based Intelligence Using Sound Event Detection and Advanced Feature Extraction TechniquesSallauddin Mohmmad, Suresh Kumar SanampudiForests play a vital role in maintaining ecological balance, regulating the climate, and conserving biodiversity. However, India’s forest landscape has witnessed significant changes between 1980 and 2024 due to deforestation, afforestation, and evolving conservation strategies. To address the challenges associated with forest monitoring, we proposed a model based on Sound Event Detection using a dataset comprising four classes: chainsaw sounds, … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,908 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comprehensive Review on Skin Cancer Detection Strategies using Deep Neural NetworksAkepati Sankar Reddy, Gopinath M. PSkincancer is a deadly malignancy. Incomplete D.N.A. repair in skin cells causeshereditary mutations and cancer. Early skin cancer is easier to treat since itspreads slowly to other body areas. As a result, the optimal time to find it isduring its infancy. Because of the rising frequency of skin cancer, the highmortality rate, and the high cost of medical treatment, early … …Journal of Computer Science, Vol. 18, Issue 10 · 5 Oct 2022 · 6,405 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIoT Intrusion Detection using Auto-Encoder and Machine Learning TechniquesAhmed Ridha Khudhu, Khairulmizam SamsudinIoTnetwork refers to the capability of connecting smart and various devices to asingle network for the sake of performing a particular task. Similar toconventional networks, IoT networks are vulnerable to several attacks.Therefore, IoT Intrusion Detection has caught much research attention. Severalstudies have examined the task of intrusion detection for IoT networks. Withinsuch studies, the focus was set to accommodate a … …Journal of Computer Science, Vol. 18, Issue 10 · 27 Sep 2022 · 6,463 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Ensemble of Gaussian Mixture Model and Support Vector Machines for Network Intrusion DetectionOlujimi Daniel Alao, Sheriff Alimi, Shade Oluwakemi Kuyoro et al.NetworkIntrusion Detection Systems (NIDS) can protect computer networks and computersystems by detecting abnormal network packets and taking agreed action plans,such as notifying an administrator or rejecting the network packets. In this study,the aim is the implementation of NIDS with improved performance using anensemble of Support Vector Machines (SVMs) and the Gaussian Mixture Model(GMM). Four SVMs with Radial Basis Function (RBF), … …Journal of Computer Science, Vol. 18, Issue 9 · 21 Sep 2022 · 6,123 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplications of Artificial Intelligence Based Technologies in Weed and Pest DetectionNidhi Gupta, Bharat Gupta et al.Unprecedented population growth and climate change has burdened food security and scarcity worldwide, where the agriculture sector can significantly contribute to accomplishing the demands and contribute to the economic growth of a country. Artificial Intelligence (AI) has revolutionized the agricultural domain. Pest and weed detection is significant to yielding good quality crops. The AI-based tools and technologies such as drones … …Journal of Computer Science, Vol. 18, Issue 6 · 2 Jul 2022 · 7,416 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Transfer Learning for Mask DetectionZahin Akram, Arifuzzaman Arman, Mohammad Rakib Imtiaz, Syed Athar Bin AmirThe use of masks has become crucial in combating the Coronavirus pandemic. Unfortunately, the regulation of wearing a mask is not being upheld by many citizens which is contributing to the spread of the disease. To aid the efforts of regulations and to maintain safety in public areas, both large like parks or small like public transport, Artificial Intelligent systems … …Journal of Computer Science, Vol. 18, Issue 2 · 3 Mar 2022 · 6,937 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleA Review of Detection Techniques for Chemical Oxygen Demand in WastewaterDan Wu, Yinglu Hu, Ying LiuWater pollution is a major problem all over the world, the detection techniques of water play an important role in the evaluation of water pollution. Chemical Oxygen Demand (COD) is an important index of the evaluation of water pollution. The paper reviews the detection methods of chemical oxygen demand in wastewater, introduces the standard of chemical oxygen demand emission limit … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 27 Jan 2022 · 8,923 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAgricultural Crop Disease Detection Using Convolutional Neural NetworksAtsu Alagah Komlavi, Harouna Naroua, Chaibou KadriMitigating food insecurity in Niger is of paramount importance. According to some researchers, agricultural yield is declining. The permanent annual food shortage was estimated to be between 25 and 50%. Loss of cereal agricultural production is caused by pests and plant diseases. Knowing that ordinary techniques became inefficient. Automatic detection of plant diseases using artificial intelligence becomes the best solution. … …Journal of Computer Science, Vol. 21, Issue 3 · 24 Jan 2025 · 7,562 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Method of Long Short-Term Memory and Auto-Encoder Architectures for Sarcasm DetectionMohammed M. AL-Ani, Nazlia Omar, Ahmed Adil NafeaSarcasm detection is considered one of the most challenging tasks in sentiment analysis and opinion mining applications in the social media. Sarcasm identification is therefore essential for a good public opinion decision. There are some studies on sarcasm detection that apply standard word2vec model and have shown great performance with word-level analysis. However, once a sequence of terms is being … …Journal of Computer Science, Vol. 17, Issue 11 · 1 Dec 2021 · 7,191 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleA Review of Technological Progression from Radiomics to Breathomics for Early Detection of Lung CancerFunmilayo S. Moninuola, Oluwadamilola Oshin, Emmanuel Adetiba et al.Lung Cancer (LC) is formed by an uncontrolled growth of abnormal cells in the lungs, which alters the body's metabolism. Early detection of LC is very important for a better survival rate and prognosis in patients and persons at risk of the disease. Traditional approaches to LC detection are less sensitive to cancerous cells at the early stage, are invasive … …Journal of Computer Science, Vol. 17, Issue 11 · 26 Nov 2021 · 6,264 accessesView PDFCite