Search Results - "Microprocessors and microsystems"

Deep learning side-channel attack against hardware implementations of AES by Kubota, Takaya, Yoshida, Kota, Shiozaki, Mitsuru, Fujino, Takeshi

“…In the field of image recognition, machine learning technologies, especially deep learning, have been rapidly advancing alongside the advances of hardware such…”
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RETRACTED: Material database management system based on heterogeneous multi-processor and computer embedded system by Xu, Xingwen

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Design and implementation of novel, fast, pipelined HSI2RGB and log-hybrid RGB2HSI colour converter architectures for image enhancement by Nnolim, Uche A.

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Cyber-physical systems security: Limitations, issues and future trends by Yaacoub, Jean-Paul A., Salman, Ola, Noura, Hassan N., Kaaniche, Nesrine, Chehab, Ali, Malli, Mohamad

“…Typically, Cyber-Physical Systems (CPS) involve various interconnected systems, which can monitor and manipulate real objects and processes. They are closely…”
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Performance of deep learning vs machine learning in plant leaf disease detection by Sujatha, R., Chatterjee, Jyotir Moy, Jhanjhi, NZ, Brohi, Sarfraz Nawaz

“…Plants are recognized as essential as they are the primary source of humanity's energy production since they are having nutritious, medicinal, etc. values. At…”
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Processing data where it makes sense: Enabling in-memory computation by Mutlu, Onur, Ghose, Saugata, Gómez-Luna, Juan, Ausavarungnirun, Rachata

“…Today’s systems are overwhelmingly designed to move data to computation. This design choice goes directly against at least three key trends in systems that…”
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IoT enabled cancer prediction system to enhance the authentication and security using cloud computing by Anuradha, M., Jayasankar, T., Prakash, N.B., Sikkandar, Mohamed Yacin, Hemalakshmi, G.R., Bharatiraja, C., Britto, A. Sagai Francis

“…In recent days, Internet of Things, Cloud Computing, Deep learning, Machine learning and Artificial Intelligence are considered to be an emerging technologies…”
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A survey of Open-Source UAV flight controllers and flight simulators by Ebeid, Emad, Skriver, Martin, Terkildsen, Kristian Husum, Jensen, Kjeld, Schultz, Ulrik Pagh

“…The current disruptive innovation in civilian drone (UAV) applications has led to an increased need for research and development in UAV technology. The key…”
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Auto encoder based dimensionality reduction and classification using convolutional neural networks for hyperspectral images by Ramamurthy, Madhumitha, Robinson, Y. Harold, Vimal, S., Suresh, A.

“…Hyperspectral images (HSI) are adjacent band images commonly used in remote sensing environment; the deep learning methodologies have the important feature for…”
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Optimal reactive power dispatch for real power loss minimization and voltage stability enhancement using Artificial Bee Colony Algorithm by Ettappan, M., Vimala, V., Ramesh, S., Kesavan, V. Thiruppathy

“…Reactive Power Dispatch (RPD) plays important role in power system reliability and security. This paper proposes the Optimal Reactive Power Dispatch (ORPD) for…”
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Rent’s rule and extensibility in quantum computing by Franke, D.P., Clarke, J.S., Vandersypen, L.M.K., Veldhorst, M.

“…Quantum computing is on the verge of a transition from fundamental research to practical applications. Yet, to make the step to large-scale quantum…”
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Energy efficient wearable sensor node for IoT-based fall detection systems by Nguyen Gia, Tuan, Sarker, Victor Kathan, Tcarenko, Igor, Rahmani, Amir M., Westerlund, Tomi, Liljeberg, Pasi, Tenhunen, Hannu

“…Falls can cause serious traumas such as brain injuries and bone fractures, especially among elderly people. Fear of falling might reduce physical activities…”
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Flow-based anomaly intrusion detection using machine learning model with software defined networking for OpenFlow network by Satheesh, N., Rathnamma, M.V., Rajeshkumar, G., Sagar, P. Vidya, Dadheech, Pankaj, Dogiwal, S.R., Velayutham, Priya, Sengan, Sudhakar

“…•Priority-based model using SDN to control the flow of data packets over the network.•Detection of normal and abnormal traffic data transmission to identify…”
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DLDM: Deep learning-based defense mechanism for denial of service attacks in wireless sensor networks by Premkumar, M., Sundararajan, T.V.P.

“…Wireless Sensor Networks (WSNs) include small battery-based self-governing devices that are deployed in a distributed manner to supervise the environmental or…”
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Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm by Kumar, Ankit, Varadarajan, Vijayakumar, Kumar, Abhishek, Dadheech, Pankaj, Choudhary, Surendra Singh, Kumar, V.D. Ambeth, Panigrahi, B.K., Veluvolu, Kalyana C.

“…Vehicular ad hoc networks (VANETs) has received significant attention in the research domain of intelligent transportation system (ITS) as they provide safety…”
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DeepMaker: A multi-objective optimization framework for deep neural networks in embedded systems by Loni, Mohammad, Sinaei, Sima, Zoljodi, Ali, Daneshtalab, Masoud, Sjödin, Mikael

“…Deep Neural Networks (DNNs) are compute-intensive learning models with growing applicability in a wide range of domains. Due to their computational complexity,…”
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IoT based smart agrotech system for verification of Urban farming parameters by Podder, Amit Kumer, Bukhari, Abdullah Al, Islam, Sayemul, Mia, Sujon, Mohammed, Mazin Abed, Kumar, Nallapaneni Manoj, Cengiz, Korhan, Abdulkareem, Karrar Hameed

“…The recent seen intelligent technologies like the internet of things (IoT), computer vision etc. facilitates farming activities and also provides flexible farm…”
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TOPSIS model with entropy weight for eco geological environmental carrying capacity assessment by Li, Xuefen

“…In order to understand the comprehensive effect of eco-geological environment and determine the development direction of eco-geological environment resources…”
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Automatic diagnosis of skin diseases using convolution neural network by Shanthi, T., Sabeenian, R.S., Anand, R.

“…Skin diseases are becoming a most common health issues among all the countries worldwide. The method proposed in this work detects four types of skin diseases…”
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A microcontroller based machine vision approach for tomato grading and sorting using SVM classifier by Dhakshina Kumar, S., Esakkirajan, S., Bama, S., Keerthiveena, B.

“…Advances in computer vision have led to the development of promising solutions for challenging problems in agriculture. Fruit grading and sorting are complex…”
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