Search Results - "Mtetwa, Nhamoinesu"

RNN-ABC: A New Swarm Optimization Based Technique for Anomaly Detection by Qureshi, Ayyaz-Ul-Haq, Larijani, Hadi, Mtetwa, Nhamoinesu, Javed, Abbas, Ahmad, Jawad

“…The exponential growth of internet communications and increasing dependency of users upon software-based systems for most essential, everyday applications has…”
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An Adversarial Approach for Intrusion Detection Systems Using Jacobian Saliency Map Attacks (JSMA) Algorithm by Qureshi, Ayyaz Ul Haq, Larijani, Hadi, Yousefi, Mehdi, Adeel, Ahsan, Mtetwa, Nhamoinesu

“…In today’s digital world, the information systems are revolutionizing the way we connect. As the people are trying to adopt and integrate intelligent systems…”
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Intrusion Detection Using Swarm Intelligence by Qureshi, Ayyaz-Ul-Haq, Larijani, Hadi, Javed, Abbas, Mtetwa, Nhamoinesu, Ahmad, Jawad

“…Recent advances in networking and communication technologies have enabled Internet-of-Things (IoT) devices to communicate more frequently and faster. An IoT…”
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A tool for synthesizing spike trains with realistic interference by Smith, Leslie S., Mtetwa, Nhamoinesu

“…Spike detection and spike sorting techniques are often difficult to assess because of the lack of ground truth data (i.e., spike timings for each neuron). This…”
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Smoothing and thresholding in neuronal spike detection by Mtetwa, Nhamoinesu, Smith, Leslie S.

“…We discuss spike detection for noisy neuronal data. Robust spike detection techniques are especially important for probes which have fixed electrode sites that…”
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A Novel Random Neural Network Based Approach for Intrusion Detection Systems by Qureshi, Ayyaz-Ul-Haq, Larijani, Hadi, Ahmad, Jawad, Mtetwa, Nhamoinesu

“…Computer security and privacy of user specific data is a prime concern in day to day communication. The mass use of internet connected systems has given rise…”
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An Adversarial Attack Detection Paradigm With Swarm Optimization by Qureshi, Ayyaz-Ul-Haq, Larijani, Hadi, Mtetwa, Nhamoinesu, Yousefi, Mehdi, Javed, Abbas

“…The rise of smart devices and applications has increased the dependence of human beings on machine learning (ML) based code-driven systems. While many of the…”
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Precision constrained stochastic resonance in a feedforward neural network by Mtetwa, N., Smith, L.S.

“…Stochastic resonance (SR) is a phenomenon in which the response of a nonlinear system to a subthreshold information-bearing signal is optimized by the presence…”
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Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons by Mtetwa, Nhamoinesu

“…This thesis is a study of stochastic resonance (SR) in a discrete implementation of a leaky integrate-and-fire (LIF) neuron network. The aim was to determine…”
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