MAL-Net: Model-Adaptive Learned Network for Slow-Time Ambiguity Function Shaping by Jun Wang, Xiangqing Xiao, Jinfeng Hu, Ziwei Zhao, Kai Zhong, Chaohai Li

“…The problem is NP-hard, due to its non-convex quartic objective function and CMC constraint. Existing methods typically involve model-based approaches with relaxation and data-driven Deep Neural Networks (DNNs) methods, which face the challenge of dataimitation. …”
Get full text

Hybrid Artificial Neural Network Activation Function to Reduce Water Wastage in Agricultural Irrigation by Baraa H. Jawad, Ola A. Alwesabi, Nibras Abdullah, Ahmed Abed Mohammed

Subjects: Get full text

Artificial Neural Networks with various Transfer Functions for Modeling Rainfall Patterns in Sokoto, Nigeria by C. S. Ofordu, A. J. Adeyi, E. O. Okoro

“…Hence, the objective of this paper is to employ Artificial Neural Networks (ANNs) with various transfer functions for modeling rainfall patterns  in Sokoto, Nigeria. …”
Get full text

Experimental evolution partially restores functionality of bacterial chemotaxis network with reduced number of components. by Manika Kargeti, Irina Kalita, Sarah Hoch, Maryia Ratnikava, Wenhao Xu, Bin Ni, Ron L Dy, Remy Colin, Victor Sourjik

Get full text

Altered Functional Integration in the Salience and Default Mode Networks in Euthymic Pediatric Bipolar Disorder by Weifang Cao, Haoran Chen, Qing Jiao, Dong Cui, Yongxin Guo, Weijia Gao, Jianfeng Qiu, Linyan Su, Guangming Lu

“…A distant functional connectivity analysis demonstrated altered integration within the salience and default mode networks in euthymic PBD. …”
Get full text

Multi-functional broadband diffractive neural network with a single spatial light modulator by Bolin Li, Yinfei Zhu, Jinlei Fei, Runshi Zheng, Min Gu, Jian Lin

“…Herein, we report a reflection type, multi-functional, broadband DNN design. It consists of two phase-modulation layers based on a single spatial light modulator and a mirror facing it. …”
Get full text

Functional network differences between unilateral and bilateral deep brain stimulation of the subthalamic nucleus by Brendan Santyr, Alexandre Boutet, Mohamad Abbass, Artur Vetkas, Jürgen Germann, Afis Ajala, Jianwei Qiu, Gavin J. B. Elias, Can Sarica, Andrew Z. Yang, Ibrahim Alhashyan, Suneil K. Kalia, Alfonso Fasano, Andres M. Lozano

Get full text

Pedotransfer function for determining saturated hydraulic conductivity using Artificial Neural Network (ANN) by Edyta Kruk, Magdalena Malec, Sławomir Klatka, Andżelika Brodzińska-Cygan, Jan Kołodziej

Subjects: Get full text

Genetic identification of a network of factors that functionally interact with the nucleosome remodeling ATPase ISWI. by Giosalba Burgio, Gaspare La Rocca, Anna Sala, Walter Arancio, Dario Di Gesù, Marianna Collesano, Adam S Sperling, Jennifer A Armstrong, Simon J van Heeringen, Colin Logie, John W Tamkun, Davide F V Corona

“…Nucleosome remodeling and covalent modifications of histones play fundamental roles in chromatin structure and function. However, much remains to be learned about how the action of ATP-dependent chromatin remodeling factors and histone-modifying enzymes is coordinated to modulate chromatin organization and transcription. …”
Get full text

Social networks and self-function-related interpersonal impairment in problematic Facebook and internet use by Imre András Török, Robert Herold, Szabolcs Bandi, Júlia Éva Varga, Sándor Rózsa, Eszter H. Somlai, János Kállai

Get full text

Functional remapping in networks of the Parkinsonian brain: A preclinical neuroimaging perspective with clinical correlates by Wang Zhuo, Jakowec Michael W., Petzinger Giselle M., Holschneider Daniel P.

“…Clinically, patients are all too painfully aware of dysfunction not only of motor circuits but also of somatosensory, autonomic, cognitive, and emotional systems. Functional neuroimaging studies have begun to document a functional reorganization in the PD brain across a wide number of networks. …”
Get full text

Integrated analysis of gene networks and cellular functions identifies novel heart failure biomarkers by Jiang Juncheng, Chen Lei, Lin Hao, Liang Fei

“…Abstract Introduction Heart failure (HF) is a complex clinical condition characterized by impaired cardiac function and progressive structural remodeling. To elucidate the molecular mechanisms driving HF, this study aimed to identify key regulatory hub genes, explore their functional relevance, and assess their diagnostic and therapeutic potential. …”
Get full text

A functional selection model explains evolutionary robustness despite plasticity in regulatory networks by Naomi Habib, Ilan Wapinski, Hanah Margalit, Aviv Regev, Nir Friedman

“…Previous evidence suggested substantial divergence of regulatory networks across species. However, systematically assessing the extent of this plasticity and its functional implications has been challenging due to limited experimental data and the noisy nature of computational predictions. …”
Get full text

Push-pull effects of basal ganglia network in Parkinson’s disease inferred by functional MRI by Yuxin Wang, Zhiqi Jiang, Chunguang Chu, Zhen Zhang, Jiang Wang, Dianyou Li, Naying He, Chris Fietkiewicz, Changsong Zhou, Marcus Kaiser, Xuze Bai, Chencheng Zhang, Chen Liu

Get full text

Multi-Functional Optical Spectrum Analysis Using Multi-Task Cascaded Neural Networks by Haoyu Wang, Sheng Cui, Changjian Ke, Chenglong Yu, Zi Liang, Deming Liu

“…We demonstrate that, compared with the multi-task artificial neural network (MT-ANN) and convolutional neural network (MT-CNN), the proposed multi-task cascaded ANNs (CANN) and cascaded CNNs (CCNN) can greatly improve the OSA performance and accelerate the training process by exploiting specific features and loss functions for different tasks. …”
Get full text

Physical and functional evaluation of vaccination rooms from the public municipal network of Caxias-MA by Raimundo Nonato Silva Gomes, Nytale Lindsay Cardoso Portela, Aliny de Oliveira Pedrosa, Juliane Danielly Santos Cunha, Luma Ravena Soares Monte, Charlles Nonato da Cunha Santos

Get full text

Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks by Chih-Yu Liu, Cheng-Yu Ku, Wei-Da Chen, Ying-Fan Lin, Jun-Hong Lin

Subjects: Get full text

AOF: An adaptive algorithm for enhancing RPL objective function in smart agricultural IoT networks by Abubakar Wakili, Sara Bakkali

“…This paper presents the Adaptive Objective Function (AOF), an innovative algorithm designed to dynamically adjust the OF in real-time, responding to fluctuating network conditions and application requirements. …”
Get full text

A radial basis function artificial neural network model for water quality evaluation by GUO Zong-lou

Subjects: Get full text

Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

“…Abstract Operator learning is a rising field of scientific computing where inputs or outputs of a machine learning model are functions defined in infinite-dimensional spaces. In this paper, we introduce Neon (Neural Epistemic Operator Networks), an architecture for generating predictions with uncertainty using a single operator network backbone, which presents orders of magnitude less trainable parameters than deep ensembles of comparable performance. …”
Get full text