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147 articles for “Neural networks”
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Malaria Detection using Machine Learning
Abstract: A life-threatening disease called Malaria is caused by parasites that get transmitted intopeople's body by the bites of infected mosquitoes. If Automation is used for the diagnosisprocess of this disease it will enable accurate diagnosis of the disease and hence it willdeliver a reliable health-care to resource-scarce areas. Currently malaria is being diagnosedby performing microscopic tests on blood smears of the patients. They require examinationby a skilled and well experienced …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 40–44 Read article
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Analysis and Design of Frequency and Gain of Dual Band Equilateral Triangular Microstrip Patch Antenna with DGS Using ANN
Abstract: A Dual-frequency equilateral triangular microstrip patch antenna using defected ground structure of c-band and s-band with enhanced gain has been designed with frequency of 2.82 GHz and 5.19GHz. The design and simulation of antenna is performed by CST.We have analyzed that after insertion of DGS(Defected Ground Structure) in equilateral triangular microstrip patch antenna presents marked improvement in gain. Artifical neural network is used in computation of frequency of equilateral triangular …
Published in International Journal of Microwave Engineering and Technology · Vol. 3, Issue 2, 2017 · pp. 19–31 Read article
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Survey of Designing Techniques to Design Dipole Antenna
Abstract: ABSTRACTIn this review paper, the author has shown a comparison of various techniques available to a dipole antenna. A dipole antenna is generally used in modern communication devices. The study of the literature of the past few years shows that the leading work on the dipole antenna is focused on designing a compact-sized broadband dipole antenna. The author investigated various research papers published to design such a kind of antenna …
Published in International Journal of Microwave Engineering and Technology · Vol. 6, Issue 1, 2020 · pp. 1–6 Read article
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Review on Internet of Things
Abstract: The area unit coming into in an exceedingly new era of computing technology, i.e., Internet of things (IoT). IoT could be a variety of “universal international neural network” within the cloud that connects different types of things. The IoT is wisely connected Objects that consist of smart machines connecting and communicating with each other machines, environments, objects and infrastructures and the Radio Frequency Identification (RFID), and network technologies can rise …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 4, Issue 2, 2018 · pp. 20–22 Read article
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Effect of Burr Height in Drilling Low Carbon Steels for Different Drill Point Angles
Abstract: In the present work low carbon steel have been used to observe the burr height at the exit end of the workpiece of a drilled hole under different machining conditions. Three uncoated 12 mm diameter HSS twist drills are used. These drills have different drill point angles, i.e., 118°, 100°, 80°. All the experiments are carried out on a CNC milling machine with and without the application of coolant. Cutting …
Published in International Journal of Mechanics and Design · Vol. 5, Issue 1, 2019 · pp. 24–37 Read article
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Multi-class Fault Diagnosis of Rolling Element Bearing Based on Empirical Mode Decomposition and Entropy Features
Abstract: Rolling element bearings are one of the most commonly used machine elements in engineering industry. Fault detection and diagnosis of rolling element bearings is essential for prevention of malfunction and failure during operation. The present work deals with rolling element bearing fault diagnosis by using Support Vector Machine (SVM) and Artificial Neural Network (ANN). Four types of bearing conditions are considered in the present analysis: inner race fault (IR), outer …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 01–10 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article