In this article, we provide a splitting method for solving monotone inclusions in real Hilbert space involving four operators: maximally monotone, monotone-Lipschitzian, cocoercive, and monotone-continuous operator. The proposed takes advantage of the intrinsic properties each operator, generalizing forward–backward–half-forward Tseng’s algorithm with line search. At iteration, our defines step...

The offshore wind sector is expanding to deep water locations through floating platforms. This poses challenges horizontal axis turbines (HAWTs) due the ever growing size of blades and support structures. As such, maintaining structural integrity reducing levelised cost energy (LCoE) HAWTs seems increasingly difficult. An alternative these could be found in vertical (VAWTs). It known that VAWTs...

An analog system-on-chip for kernel-based pattern classification and sequence estimation is presented. State transition probabilities conditioned on input data are generated by an integrated support vector machine. Dot product based kernels and support vector coefficients are implemented in analog programmable floating gate translinear circuits, and probabilities are propagated and normalized u...

The IEEE standards 754 and 854 for floating-point arithmetic have been under revision for some time. The work is pushed forward by the Floating-Point Working Group (ca. 100 scientists) of the Standards Committee of the IEEE Computer Society. The group meets monthly near Palo Alto/San Jose in California. At present Dec. 2006 is the deadline for the new standard. The author has tried to influence...

Motivated by applications in combinatorial group testing for consecutive positives, we investigate a block sequence of a maximum packing MP(t, k, v) which contains the blocks exactly once such that the collection of all blocks together with all unions of two consecutive blocks of this sequence forms an error correcting code with minimum distance d. Such a sequence is usually called a block sequ...

Abstract Food instability has been linked to infertility, health issues, accelerated aging, incorrect insulin regulation, and more. Innovative approaches increased food availability quality. Agriculture environment monitoring systems need IoT machine learning. sensors provide all necessary data for agriculture production forecast, fertilizer management, smart irrigation, crop monitoring, diseas...

Most contemporary ASR systems running on desktops use continuous-density HMMs (CHMM) with floating-point representations. It is important to reduce their memory and power requirements so that they can be more affordable for portable devices. In this paper, we propose a novel speech recognition back-end based on custom arithmetic, where all floating-point variables are represented by integer ind...

The Naive Mix is a new supervised learning algorithm that is based on a sequential method for selecting probabilistic models. The usual objective of model selection is to find a single model that adequately characterizes the data in a training sample. However, during model selection a sequence of models is generated that consists of the best-fitting model at each level of model complexity. The ...

The Naive Mix is a new supervised learning algorithm that is based on a sequential method for selecting probabilistic models. The usual objective of model selection is to nd a single model that adequately characterizes the data in a training sample. However, during model selection a sequence of models is generated that consists of the best{{tting model at each level of model complexity. The Nai...