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253 articles for “data layer”
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Multi Layer Defense Architecture
Abstract: Gaining access to the exclusive information is easy nowadays and this information is always been at the peak of confidentiality. As in day to day life, authentication, confidentiality and data integrity are the three biggest aspects of security. So, keeping this in priority, we are proposing an idea to develop a multi-layer defense architecture for securing network and cloud. This could achieve security up to an extent but also higher …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 28–32 Read article
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A Dual-Model Deep Learning Framework for Early Alzheimer’s Detection Using Clinical Data and Neuroimaging with Architectural Performance Analysis
Abstract: Alzheimer’s disease (AD) poses a significant global health challenge due to its increasing prevalence and the absence of definitive cures. Early diagnosis is crucial for effective intervention and management. This study presents a dual-model deep learning framework for the early detection and classification of AD using both structured clinical data and neuroimaging datasets. Model 1 utilizes a greedy layer-wise autoencoder approach applied to structured data, achieving optimal binary classification accuracy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 1–12 Read article
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Digital Agriculture Schemes in Kerala: Risk Analysis and Multi-Layered Security Framework
Abstract: Kerala’s agricultural sector is undergoing rapid digital transformation, driven by initiatives such as the e-Krishi platform and the growing adoption of Internet of Things (IoT)–enabled precision farming technologies. While these developments promise improved productivity, transparency, and data-driven decision-making, they also introduce significant cybersecurity and data governance challenges that cannot be overlooked. This paper critically examines the emerging security, privacy, and operational risks associated with the digitization of agricultural services in …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 23–30 Read article
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Internet of Things: Threats and Security
Abstract: Security is the most important in today’s world as we have personal and confidential data which we do not want to share with anyone, but somehow attackers attack on our data and steal our identity. Same happens in IoT, attackers somehow attack on devices or communication channels and steal the data. This study reviews all the threats and security issues in IoT. Nowadays, devices are made in such a way …
Published in Current Trends in Information Technology · Vol. 12, Issue 2, 2022 · pp. 7–11 Read article
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A Decrease in the Encryption Latency Utilizing Transport Layer Protocols for Software Defined Networks
Abstract: Data centers and business networks are rapidly using SDN (Software Defined Networking), an emerging technology. It isolates the control plane from the underlying data or forwarding plane to allow more efficient and customized network control with a global view of the underlying network. A variety of encryption algorithms created for network-level data encryption and decryption must be used in a PC network for every application communication to be encrypted at …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 24–38 Read article
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Identification of Groundwater Potential Zone of Chhatrapati Sambhajinagar Tehsil Using Remote Sensing and GIS Technique
Abstract: Groundwater is one of the most vital and renewable natural resources, playing a key role in sustaining domestic, agricultural, and industrial activities, particularly in semi-arid regions like Chhatrapati Sambhajinagar tehsil in Maharashtra. The growing population, rising water demand, and irregular rainfall patterns have resulted in a pressing need to locate potential groundwater zones for sustainable water management. This research employs Remote Sensing (RS) and Geographic Information System (GIS) techniques to …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 61–73 Read article
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Investigation on the Benefits of Steam Adsorption and Distribution during Cyclic Steam Injection to Improve Oil Recovery - FNE Case Study, Sudan
Abstract: One of the main types of Enhanced Oil Recovery (EOR) methods is thermal stimulation method which is an increasingly common method of extracting heavy oil. there are different forms of the technology of thermal method Cyclic steam stimulation, Steam flooding and In-situ combustion “Fire flooding” are commonly applied to oil reservoirs, which are relatively shallow very viscous oil at the reservoir temperature, the most widely used steam injection methods for …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 1–21 Read article
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Study of Stainless Steel’s Properties for Radiation Safety using Artificial Neural Networks
Abstract: Several general components of reactor are made from stainless steel. Most of the container used for storing nuclear waste is made from stainless steel. In this work, an artificial neural networks (ANNs) model is used to improve the properties of stainless steel during its manufacturing process. The main job of ANNs is determining the layer’s thickness and predicting the influence of different parameters on the growth kinetic of the process. …
Published in Journal of Nuclear Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 31–40 Read article
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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A Literature Review on Internet of Things Application Layer Communication Protocols
Abstract: AbstractIoT makes use of diverse communication protocols proposed by many organizations for message sending over the application layer. Various IoT data transmission protocols involve MQTT, CoAP, XMPP, AMQP, REST, DDS and HTTP. Each protocol has its own functionality and can be used in a specific way for serving the IoT systems. According to recent researches, MQTT and CoAP are considered the major protocols that best fits the IoT environment. The …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 1, 2019 · pp. 30–38 Read article
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Using Neural Network Method to Construct 3H Content Model
Abstract: This paper proposes a 3H (hero, hub, and hygiene) content model by neural network method to predict the conversion rate of audiences between each of the three layers. The empirical data is collected from a brand of beauty groceries store. There are134,569 audiences who subscribe to this brand’s Youtube channel over one year are involved to make parameters estimation, weight value of each attribute in each content, and calculate the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 39–45 Read article
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Cyber-Secure IoT Framework for Monitoring Fiber-Reinforced Polymer Composites Using Embedded Sensors
Abstract: The present research paper suggests a cyber-safe Internet of Things system in real-time monitoring of fiber-reinforced polymer composites with inbuilt sensors. It is aimed at enhancing structural health maintenance, using sensual, intelligent analysis, and data protection in the same platform. Multi-layer architecture An embedded sensor, signal processing, anomaly detection and lightweight layer of cyber-security are developed. Experimental validation is done under controlled conditions and the performance is measured by these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 434–458 Read article
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Comparative Study of Bayes Net and Multilayer Perceptron Model using ECG Signals
Abstract: In recent days, heart abnormalities are common among people regardless of their age. Heart abnormalities must be detected and treated in very initial stage which protects people from major heart abnormalities. Sometimes, physician feels difficulty in classifying heart abnormalities from extracted features. This problem can be solved with an excellent data mining technique called classification. Classification is a data mining technique which is used to label tuples. In this paper …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 2, 2015 · pp. 14–17 Read article
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Urban Planning Mitigation Trajectories for Urban Heat Island (UHI) A Case Study of Guntur, Andhra Pradesh, India
Abstract: AbstractGlobal radiation related solair-temperature directly influences Urban Heat Islands (UHI) as the built environments and surrounding atmosphere cause increase in urban solair temperatures, the resulting temperature completely depends on the thermal properties of the exposed materials. Urban heat islands can lead to deterioration of flora and fauna, elevation of ground level ozone, health disorders and increase in building energy consumptions. The study area of Guntur region which is susceptible to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 8, Issue 2, 2018 · pp. 12–29 Read article
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Lossless and Reversible Data Hiding in Encrypted Images with Public Key Cryptography
Abstract: In this paper, system uses the cryptography and steganography concept, which proposes a lossless, reversible, and combined data hiding methods for images encrypted by public key cryptosystems with probabilistic and homomorphic properties. In the lossless method, pixels of encrypted images are replaced with new values to embed additional data into LSB-planes of ciphertext pixels by multiple layer wet paper coding. Thus, original data can be directly extracted from encrypted image, …
Published in Current Trends in Information Technology · Vol. 6, Issue 2, 2016 · pp. 27–33 Read article
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Open-Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study
Abstract: Open-source software (OSS) has become a foundational pillar for rapid innovation across artificial intelligence (AI), machine learning (ML), and cybersecurity. This paper delivers a comprehensive, journal-length analysis of OSS-driven ecosystems, emphasizing collaborative development, transparency, and accelerated deployment. By providing freely available libraries, tools, and frameworks, OSS makes it easier for developers and researchers to experiment, build models, and deploy solutions quickly. This study examines how OSS can be combined with …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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On the Contribution of E- and D-Layer to Weak Geomagnetic Storm Events in South Africa
Abstract: Data from five ionosonde in Southern Africa have been analyzed to better appreciate the contributions of the E- and D-layers of the ionosphere in this region to weak geomagnetic storms. This attempt to quantify the exact contributions of the D and E-layers to weak geomagnetic storms during period of relatively quiet Sun has never been done in this region before. The results suggest that the E-layers contribute more than the …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 1, Issue 1-3, 2012 · pp. 42–55 Read article
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Neural Network Machine Learning Analysis for Noisy Data: R Programming
Abstract: Abstract: This review paper clearly discusses the compression between Neural Network Machine Learning Analysis for Noisy Data: R Programming. Although there is large gap between data analysis to analyze overfitting and multicollinearity problems in data sets. Its primary purpose is to explain the machine learning procedures using neural network whose data structure were cross validation using R software whose outputs were sufficiently explain with various intermediate output and graphical interpretation …
Published in Recent Trends in Programming languages · Vol. 6, Issue 3, 2019 · pp. 1–10 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article