SimpleMating: R‐package for prediction and optimization of breeding crosses using genomic selection by Marco Antônio Peixoto, Rodrigo Rampazo Amadeu, Leonardo Lopes Bhering, Luís Felipe V. Ferrão, Patrício R. Munoz, Márcio F. R. Resende Jr.

“…The second module implements an optimization algorithm to maximize a target criterion while minimizing next‐generation inbreeding. …”
Get full text

A Simple and Efficient Way to Save Energy in Multihop Wireless Networks with Flow Aggregation by Alexandre Laube, Dominique Quadri, Steven Martin, Khaldoun Al Agha

Get full text

A Simple Image Encryption Based on Binary Image Affine Transformation and Zigzag Process by Adélaïde Nicole Kengnou Telem, Cyrille Feudjio, Balamurali Ramakrishnan, Hilaire Bertrand Fotsin, Karthikeyan Rajagopal

“…In this paper, we propose a new and simple method for image encryption. It uses an external secret key of 128 bits long and an internal secret key. …”
Get full text

IMPROVEMENTS TO THE BACKPROPAGATION ALGORITHM by MIRCEA PETRINI

“…This paper presents some simple techniques to improve the backpropagation algorithm. …”
Get full text

Genetic clustering algorithm by M. A. Anfyorov

“…The algorithm is simple in its program implementation, which increases its usage reliability. …”
Get full text

Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis by Peiyao Ren, Wenhao Gui, Shan Liang

Subjects: Get full text

Adaptive sequential sampling for reliability estimation of binary functions by Miroslav Vořechovský

“…Two basic tasks are identified: (i) extension of the experimental design (ED) and (ii) estimation of probabilities. The new extension algorithm adds points for limit state evaluation to the ED by balancing the global exploration and local exploitation, and the estimation uses the pointwise information to build a simple surrogate and perform a novel optimized importance sampling. …”
Get full text

An investigation into multi-objective decision-making in fresh cold chain supply chain networks within a dual distribution framework by Junyan Sun, Xing Li, Zefei Chen

Subjects: Get full text

MIMOSNN: Software implementation for MIMO sampling neural network by Lingyan Wu, Gang Cai

“…The experimental results show that the algorithm has good accuracy and convergence features. …”
Get full text

Regularized Least Square Regression with Unbounded and Dependent Sampling by Xiaorong Chu, Hongwei Sun

“…The standard bound assumption for output data is abandoned and the learning algorithm is implemented with samples drawn from dependent sampling process with a more general output data condition. …”
Get full text

Consensus of Multiagent Systems with Sampled Information and Noisy Measurements by Zhao-Jun Tang, Ting-Zhu Huang, Jin-Liang Shao

“…We consider consensus problems of first-order multiagent systems with sampled information and noisy measurements. A distributed stochastic approximation type algorithm is employed to attenuate the measurement noises. …”
Get full text

AISLEX: Approximate individual sample learning entropy with JAX by Ondrej Budik, Milan Novak, Florian Sobieczky, Ivo Bukovsky

“…We present AISLEX, an online anomaly detection module based on the Learning Entropy algorithm, a novel machine learning-based information measure that quantifies the learning effort of neural networks. …”
Get full text

A complexity transition in displaced Gaussian Boson sampling by Zhenghao Li, Naomi R. Solomons, Jacob F. F. Bulmer, Raj B. Patel, Ian A. Walmsley

“…Abstract Gaussian Boson Sampling (GBS) is the problem of sampling from the output of photon-number-resolving measurements of squeezed states input to a linear optical interferometer. …”
Get full text

Keypoint Detection Based on Curvature Grouping and Adaptive Sampling by Bifu Li, Yu Cheng, Weitong Li

“…In the keypoint detection algorithm, the farthest point sampling methods and random sampling methods are usually used to select candidate points, then keypoints are screened out from the neighborhood of the candidate points. …”
Get full text

Automatical sampling with heterogeneous corpora for grammatical error correction by Shichang Zhu, Jianjian Liu, Ying Li, Zhengtao Yu

“…Finally, we enhance typical Seq2Seq and Seq2Edit grammatical error correction models with pre-trained language models and design a model ensemble algorithm for integrating the advantages of heterogeneous models and weighted samples. …”
Get full text

Simple and High-Precision Hamiltonian Simulation by Compensating Trotter Error with Linear Combination of Unitary Operations by Pei Zeng, Jinzhao Sun, Liang Jiang, Qi Zhao

Get full text

Computing medial axis of a simple polygon in linear time based on R-L sequence by Hongyu Chen, Xiaodiao Chen, Yizhao Xue

“…The algorithm is done by reconstructing the Voronoi diagram tree of the given simple polygon, which can be easily performed in a breadth-first manner with a higher computational efficiency. …”
Get full text

Simple Single-Person Fall Detection Model Using 3D Pose Estimation Mechanisms by Jinmo Yang, R. Young Chul Kim

“…Therefore, we propose the simple fall detection model (SFDM) that is computationally efficient with moderate accuracy. …”
Get full text

Labelling Training Samples Using Crowdsourcing Annotation for Recommendation by Qingren Wang, Min Zhang, Tao Tao, Victor S. Sheng

“…Therefore, in this paper, we utilize crowdsourcing annotation to label training samples. First, a suitable crowdsourcing mechanism is designed to create crowdsourcing annotation-based tasks for training sample labelling, and then two entropy-based ground truth inference algorithms (i.e., HILED and HILI) are proposed to achieve quality improvement of noise labels provided by the crowd. …”
Get full text

On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…To investigate the effect of sampling frequency on the performance of detection methods, we designed a processing framework to evaluate different classification algorithms on versions of a challenging dataset obtained by down‐sampling the original data at various rates. …”
Get full text