Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies by Tian ZHENG, Xinheng WANG, Xiaolan PENG, Ning SU, Tianyi XU, Xurong XIE, Jin HUANG, Lun XIE, Feng TIAN

“…Multimodal contactless screening technologies, such as speech-language processing, computer vision, and virtual reality, offer efficient and convenient methods for disease diagnosis and progression tracking. …”
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FPGA-Accelerated Sparse Subset Segmentation Using ADMM for High-Resolution Imagery by Rupali Karthikeyan, Deep Amit Lodaya, Rama Muni Reddy Yanamala, Rayappa David Amar Raj, K. Krishna Prakasha, T. Subeesh, V. Anandkumar, Archana Pallakonda

“…However, high-computation methods are occasionally exceeded by the energy economy and processing speed of typical CPU-based systems. …”
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Development of integrated support software for clinical nutrition by Pedro Siquier Homar, Manel Pinteño Blanco, Miguel Ángel Calleja Hernández, Francisco Fernández Cortés, Jesús Martínez Sotelo

“…According to these quality standards, the nutritional support has to include the following healthcare stages or sub-processes: nutritional screening, nutritional assessment, plan for nutritional care, prescription, preparation and administration. …”
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A novel neuroimaging based early detection framework for alzheimer disease using deep learning by Areej Alasiry, Khlood Shinan, Abeer Abdullah Alsadhan, Hanan E. Alhazmi, Fatmah Alanazi, M. Usman Ashraf, Taseer Muhammad

“…The proposed deep learning model processes MRI and PET neuroimaging data, utilizing depthwise separable convolutions to enhance computational efficiency. …”
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CyberUnits Bricks: An Implementation Study of a Class Library for Simulating Nonlinear Biological Feedback Loops by Johannes W. Dietrich, Nina Siegmar, Jonas R. Hojjati, Oliver Gardt, Bernhard O. Boehm

“…Although methods of biomedical cybernetics and systems biology help to translate between the structure and function of processing structures, computer simulations are necessary for studying nonlinear systems and the full range of dynamic responses of feedback control systems. …”
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A Lightweight YOLO-Based Architecture for Apple Detection on Embedded Systems by Juan Carlos Olguín-Rojas, Juan Irving Vasquez, Gilberto de Jesús López-Canteñs, Juan Carlos Herrera-Lozada, Canek Mota-Delfin

“…However, training and deploying YOLO models typically requires substantial computational resources, making it essential to develop lightweight and cost-effective detection systems, especially for edge computing systems. …”
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Combination of Renal Cell Carcinoma and Organizing Pneumonia by V. A. Zarya, M. E. Makogonova, P. V. Gavrilov

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Advanced Artificial Intelligence Technologies Transforming Contemporary Pharmaceutical Research by Parveen Kumar, Benu Chaudhary, Preeti Arya, Rupali Chauhan, Sushma Devi, Punit B. Parejiya, Madan Mohan Gupta

“…One area of study within machine learning and artificial intelligence (AI) seeks to create computer programs with intelligence that can mimic human focal processes in order to produce results. …”
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Robust Human Pose Estimation Method for Body-to-Body Occlusion Using RGB-D Fusion Neural Network by Jae-hyuk Yoon, Soon-kak Kwon

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Geospatial brain-inspired navigation: a neurocognitive approach for autonomous systems in complex environments by Donghui Han, Tong Qin, Tianyu Yang, Hua Liao, Qiaosong Hei, Fangwen Yu, Bailu Si, Weihua Dong

“…This paper reviews empirical studies using neuroscientific techniques to investigate how the human brain processes geographical information during navigation. …”
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Using in silico models to predict lymphocyte activation and development in a data rich era by Salim I Khakoo, Jayajit Das

“…This presents us with a unique opportunity to leverage our access to such data to develop computational models that can generate usable predictions and mechanistic insights capable of seeding new ideas. …”
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Internet policy and Australia’s Northern Territory Intervention by Ellie Rennie, Jake Goldenfein, Julian Thomas

“…This paper considers a hitherto obscure aspect of the Intervention: the surveillance of publicly funded computers and internet use. Between 2007 and 2012, providers of internet and computer access facilities in the affected communities were required to audit and record computer use. …”
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A methodology to forecast some attributes of an automatic storyteller’s outputs by Iván Guerrero Román, Rafael Pérez y Pérez

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Joint safety and security risk analysis in industrial cyber‐physical systems: A survey by Zhicong Sun, Guang Chen, Yulong Ding, Shuang‐Hua Yang

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Modeling airflow dynamics in solar drying chambers: a comprehensive review of CFD applications by Halefom Kidane, Istvan Farkas, Janos Buzás

“…Abstract Computational fluid dynamics (CFD) plays a critical role in analyzing the detailed internal processes and behavior of airflow dynamics within drying systems. …”
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Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis by Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou

“…Understanding the dynamic nature of biological systems is fundamental to deciphering cellular behavior, developmental processes, and disease progression. Single-cell RNA sequencing (scRNA-seq) has provided static snapshots of gene expression, offering valuable insights into cellular states at a single time point. …”
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On Risk Assessment for Out-of-Distribution Detection by Anton Vasiliuk

“…First, we show that OOD performance depends on both the rate of outliers and the number of samples processed by a machine learning (ML) model. Second, we introduce a novel perspective that assesses OOD risk by considering the expected maximum risk within a limited sample size. …”
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Lightweight image super-resolution network based on muti-domain information enhancement by KOU Qiqi, LIU Gui, JIANG He, CHEN Liangliang, CHENG Deqiang

“…Aiming to solve the problems that the reconstruction capability of single-domain features was limited and deep convolutional neural networks used in existing single-image super-resolution reconstruction tasks were difficult to deploy on mobile terminals due to the large number of parameters and high computational requirements, a lightweight image super-resolution network based on multi-domain information enhancement was proposed. …”
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Semi-Automatic 3D Modeling of Rooftop Types from Aerial Photos by Arsa Fa'iz Nursyahrial, Hanif Ilmawan

“…In this research, case study of 3D City Model located in the office area of Wonogiri Regency Government, which was processed from aerial photos using semi-automatic method with LoD 2 standart. …”
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Efficient attention vision transformers for monocular depth estimation on resource-limited hardware by Claudio Schiavella, Lorenzo Cirillo, Lorenzo Papa, Paolo Russo, Irene Amerini

“…However, in the transformer architecture, the attention module introduces a quadratic cost concerning the processed tokens. In dense Monocular Depth Estimation tasks, the inherently high computational complexity results in slow inference and poses significant challenges, particularly in resource-constrained onboard applications. …”
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