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Detection of Jointly Sparse Signals via Locally Most Powerful Tests with Gaussian Noise
In recent years, compressive sensing (CS) has emerged as a new paradigm for sparse signal processing, which aims at obtaining valuable information of...
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Detection of Jointly Sparse Signals via Locally Most Powerful Tests with Generalized Gaussian Model
In Chap. 2 , we consider the problem of detection of jointly sparse signals with Gaussian signals and noise.
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Locally Adaptive Processing of Color Tensor Images Represented as Vector Fields
A new approach for locally-adaptive processing of color RGB images represented as tensors of size M × N × 3, is offered in this work. Unlike the...
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Development of the WinGD 12X92DF, the Most Powerful Otto-Cycle Engine Ever Built
In this paper, WinGD experts will elaborate how the experience and knowledge gained from the mid-size X-DF engines (such as X62DF & X72DF) were...
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Probabilistic prediction with locally weighted jackknife predictive system
Probabilistic predictions for regression problems are more popular than point predictions and interval predictions, since they contain more...
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Nanobiosensors: A powerful Technology for Early Detection of Plant Parasitic Nematodes
Nanotechnology emerged as a critical force in agriculture and the most vital technology. Nanobiotechnology offers significant benefits for farmers...
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GOOSE algorithm: a powerful optimization tool for real-world engineering challenges and beyond
This study proposes the GOOSE algorithm as a novel metaheuristic algorithm based on the goose's behavior during rest and foraging. The goose stands...
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Laplace Transformation of Eigen Maps of Locally Preserving Projection (LE-LPP) Technique and Time Complexity
K Nearest Neighbour (k-NN) is one of the most common machine learning algorithms; however, it frequently fails to operate well due to an incorrect...
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To Test the Smart Sensors for AIAA
In the previous chapter, the manufacturing and fabrication of various sensors were described in various smart methods. This chapter discusses the...
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A S-type bistable locally active memristor model and its analog implementation in an oscillator circuit
In this paper, a S-type memristor with tangent nonlinearity is proposed. The introduced memristor can generate two kinds of stable pinched hysteresis...
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Development of a novel 124 MPa strength green reactive powder concrete employing waste glass and locally available cement
In this study, a new reactive powder concrete (RPC) was developed, with environmentally friendly typical RPC components obtained from ground quartz...
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WMHMT-IWD: Weibull Mixtures-HMT Based Image Watermark Detector
Balancing imperceptibility, data payload and robustness is a crucial and unsolved issue in the area of digital watermarking. It has been found that...
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Quantized Thoughts as Structure of Time: Cognitive Engineering for AI: An Octave Drawing Test for Mathematical Structure of a Subconscious Mind
Unraveling the architecture of a subconscious mind. Since the 1920s, drawing tests have been used to measure various aspects of the human mind, from...
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A numerical study based on GBM3D-DEM model: Multi-level force chain analysis in dynamic flexural tensile strength test
The force chain network is the key information of rock materials under loading, which is close to the micro-scale cracking and macroscopic mechanical...
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The Role of Federated Learning in Processing Cancer Patients’ Data
Nowadays, the number of people living with cancer is constantly increasing. Numerous multidisciplinary research teams are working on development of...
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Optimized Multi-Walk Algorithm for Test Case Reduction
Software testing is the most expensive process of the development and maintenance phase of the software product. Whenever changes are made in the...
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A new statistical image watermark detector in RHFMs domain using beta-exponential distribution
The detection of watermarks can be achieved by statistical approaches. How to select robust modeling object, appropriate statistical model, and...
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Statistical Distances in Goodness-of-fit
Statistical distances or divergences have a long history in the scientific literature, where they are used for a variety of purposes, including that...
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Prediction of Stroke from Hand Patterns Obtained Using Spiral/Wave Test Through Densely Connected Convolutional Neural Networks
Patients affected from brain stroke often suffer from difficulties in speech or weakness in one half of the body after an acute symptom. Blood vessel...