Floods are among the major natural disasters that cause loss of life and economic damage worldwide. homes, crops, roads, basic infrastructure, forcing people to migrate from high flood-risk areas. However, due a lack information about effective variables in forecasting, development an accurate flood forecasting system remains difficult. The flooding process is quite complex as it has nonlinear ...

A statistical methodology for automatically determining whether a pair of documents, a known and a questioned, were written by the same individual is proposed. First, several writing elements, e.g., characters, are extracted from each document. Second, differences between corresponding elements from each document are computed. Third, using conditional probability estimates of each difference, t...

We propose two new actor-critic algorithms for reinforcement learning. Both algorithms use local linear regression (LLR) to learn approximations of the functions involved. A crucial feature of the algorithms is that they also learn a process model, and this, in combination with LLR, provides an efficient policy update for faster learning. The first algorithm uses a novel model-based update rule...

A semantic parser based on the hidden vector state (HVS) model has been proposed for extracting protein-protein interactions. The HVS model is an extension of the basic discrete hidden Markov model, in which context is encoded as a stack-oriented state vector and state transitions are factored into a stack shift operation followed by the push of a new preterminal category label. In this paper, ...

This paper derives the closed-form bit error probability (BEP) of massive multiple-input, multiple-output (M-MIMO) systems using orthogonal frequency-division multiplexing (OFDM) and zero-forcing (ZF) detection. We improve BEP accuracy by increasing Neumann series expansion (NSE) to second order for system that was previously analyzed in [1] employing a derived distribution function (PDF) effec...

Algebraic codes such as BCH code are receiving renewed interest their short block lengths and low/no error floors make them attractive for ultra-reliable low-latency communications (URLLC) in 5G wireless networks. This article aims at enhancing the traditional adaptive belief propagation (ABP) decoding, which is a soft-in-soft-out (SISO) decoding high-density parity-check (HDPC) algebraic codes...

The task of speaker verification (SV) is to decide whether an utterance spoken by a target or imposter speaker. In most studies SV, log-likelihood ratio (LLR) score estimated based on generative probability model features, and compared with threshold for making decision. However, the usually focuses individual feature distributions, does not have discriminative selection ability, easy be distra...

Introduction: Laparoscopic liver resection (LLR) can be challenging for tumors located in the posterior-segments due to difficult access and reduced view. However use of preoperative ICG injection tumor detection together with intraoperative US, might help overcome difficulties. Indeed, fluorescence during could guide surgeons follow a proper transection line. This tool may ensure safety oncolo...

A primary objective of the Lunar Laser Ranging (LLR) experiment is to provide precise observations of the lunar orbit that contribute to a wide range of science investigations. In particular, time series of the highly accurate measurements of the distance between the Earth and Moon provide unique information used to determine whether, in accordance with the Equivalence Principle (EP), both of t...