Fungal Biocontrol Agents in the Management of Postharvest Losses of Fresh Produce—A Comprehensive Review by Phathutshedzo Ramudingana, Ndivhuho Makhado, Casper Nyaradzai Kamutando, Mapitsi Silvester Thantsha, Tshifhiwa Paris Mamphogoro

Subjects: Get full text

Global μ-Stability of Complex-Valued Neural Networks with Unbounded Time-Varying Delays by Xiaofeng Chen, Qiankun Song, Xiaohui Liu, Zhenjiang Zhao

“…The complex-valued neural networks with unbounded time-varying delays are considered. …”
Get full text

Elastoplastical Analysis of the Interface between Clay and Concrete Incorporating the Effect of the Normal Stress History by Zhao Cheng, Zhao Chunfeng, Gong Hui

“…Through large shear tests on the interface between clay and concrete, it can be concluded that the normal stress history significantly influences the shear behaviour of the interface. …”
Get full text

Synchronization of Switched Complex Bipartite Neural Networks with Infinite Distributed Delays and Derivative Coupling by Qiuxiang Bian, Jinde Cao, Jie Wu, Hongxing Yao, Tingfang Zhang, Xiaoxu Ling

“…A new model of switched complex bipartite neural network (SCBNN) with infinite distributed delays and derivative coupling is established. …”
Get full text

Periodic Solution for Impulsive Cellar Neural Networks with Time-Varying Delays in the Leakage Terms by Bingwen Liu, Shuhua Gong

“…This paper is concerned with impulsive cellular neural networks with time-varying delays in leakage terms. …”
Get full text

What Limits Cardiac Performance during Exercise in Normal Subjects and in Healthy Fontan Patients? by André La Gerche, Marc Gewillig

“…Exercise is an important determinant of health but is significantly reduced in the patient with a univentricular circulation. Normal exercise physiology mandates an increase in pulmonary artery pressures which places an increased work demand on the right ventricle (RV). …”
Get full text

Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay by Chunge Lu, Linshan Wang

“…This paper investigates mean-square robust exponential stability of the equilibrium point of stochastic neural networks with leakage time-varying delays and impulsive perturbations. …”
Get full text

A New Approach to Estimate Concentration Levels with Filtered Neural Nets for Online Learning by Woodo Lee, Junhyoung Oh, Jaekwoun Shim

“…This research aims to estimate more subtle levels as specified states by using a minimum amount of body movement data. The deep neural network is used to continuously recognize the human concentration model, and the concentration levels can be predicted and estimated by the Kalman filter. …”
Get full text

Slax: a composable JAX library for rapid and flexible prototyping of spiking neural networks by Thomas M Summe, Siddharth Joshi

Subjects: Get full text

Intuitionistic Fuzzy Normalized Weighted Bonferroni Mean and Its Application in Multicriteria Decision Making by Wei Zhou, Jian-min He

“…To deal with these issues, in this paper, we propose the normalized weighted Bonferroni mean (NWBM) and the generalized normalized weighted Bonferroni mean (GNWBM) and study their desirable properties, such as reducibility, idempotency, monotonicity, and boundedness. …”
Get full text

Improved Population Intelligence Algorithm and BP Neural Network for Network Security Posture Prediction by Yueying Li, Feng Wu

“…Finally, the improved algorithm is combined with the BP neural network to optimize the BP neural network and applied to the network security posture assessment. …”
Get full text

Epac1 Restores Normal Insulin Signaling through a Reduction in Inflammatory Cytokines by Elizabeth Curtiss, Youde Jiang, Li Liu, Claire Hawthorne, Jessica Zhang, Jena J. Steinle

“…Taken together, Epac1 can restore normal insulin signaling in the retinal vasculature through reductions in inflammatory cytokines.…”
Get full text

Multiple Linear Regression Model Based on Neural Network and Its Application in the MBR Simulation by Chunqing Li, Zixiang Yang, Yiquan Deng, Tao Wang

“…The system is researched and developed with the hybrid programming of VC++ programming language and OpenGL, with a multifactor linear regression model of affecting MBR membrane fluxes based on neural network, applying modeling method of integer instead of float and quad tree recursion. …”
Get full text

Novel mitochondrial-targeted alkyl chains act as fungal specific inhibitors of C. neoformans by Elizabeth S. M. Edrich, Luke Young, John Spencer, Andrew McGown, Anthony L. Moore, Campbell W. Gourlay

“…Cryptococcus neoformans is the causal agent of cryptococcal meningitis in immunocompromised patients and increasing instances of anti-fungal resistance have led to investigations into new alternative antifungal targets. …”
Get full text

Confidence Intervals for the Coefficient of Variation in a Normal Distribution with a Known Population Mean by Wararit Panichkitkosolkul

“…This paper presents three confidence intervals for the coefficient of variation in a normal distribution with a known population mean. …”
Get full text

Optimizing Image Feature Extraction with Convolutional Neural Networks for Chicken Meat Detection Applications by Azeddine Mjahad, Antonio Polo-Aguado, Luis Llorens-Serrano, Alfredo Rosado-Muñoz

Subjects: Get full text

A Topological Approach to Enhancing Consistency in Machine Learning via Recurrent Neural Networks by Muhammed Adil Yatkin, Mihkel Kõrgesaar, Ümit Işlak

Subjects: “…recurrent neural networks (RNNs)…”
Get full text

Effect of frost on plants, leaves, and forecast of frost events using convolutional neural networks by Sobia Wassan, Chen Xi, NZ Jhanjhi, Laiqa Binte-Imran

“…The results showed that our convolutional neural network model configuration is reliable.…”
Get full text

Fuzzy Wavelet Neural Network with the Improved Levenberg–Marquardt Algorithm for the AC Servo System by Run-Min Hou, Di-Fen Shi, Qiang Gao, Yuan-Long Hou

“…In this study, a fuzzy wavelet neural network with the improved Levenberg–Marquardt algorithm (FWNN-LM) is proposed to conquer nonlinearity and uncertain disturbance problems in the AC servo system. …”
Get full text

A Note on the Normal Index and the c-Section of Maximal Subgroups of a Finite Group by Na Tang, Xianhua Li

“…For each chief factor H/K of G such that K≤M and G=MH, we called the order of H/K the normal index of M and M∩H/K a section of M in G. Using the concepts of normal index and c-section, we obtain some new characterizations of p-solvable, 2-supersolvable, and p-nilpotent.…”
Get full text