Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy by Guanmeng Gao, Zihan Wei, Fei Pei, Yajie Du, Beiying Liu

“…Finally, the diagnoses of different pathologists with/without AI assistance were compared. As results, we present a deep learning framework (the Faster-R-CNN with ResNet 50) which can automatically detect HP of gastric biopsies and achieve 89.23% accuracy. …”
Get full text

Correlation Between the Load-Bearing Capacity, Fire Resistance, and the Price of Glued Laminated Timber by Jurko Zovkić, Zlata Dolaček-Alduk, Ivica Guljaš

“…In this study, a continuation of the research on the influence of the bearing capacity proof on the fire resistance of an element’s cross-section is presented; however, in this particular case, we focus on elements made of homogeneous glued laminated timber. …”
Get full text

HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets by Franco Liberati, Taiel Maximiliano Pose Marino, Paolo Bottoni, Daniele Canestrelli, Tiziana Castrignanò

“…Once configuration data is provided, the entire parallel computing software for assembly is automatically generated and can be launched on a supercomputer with a simple command line. …”
Get full text

Body surface gastric mapping to determine gastric motility patterns associated with delayed gastric emptying after pancreaticoduodenectomy. Gastric Electric Mapping after Pancreato... by Mike Jones, Sanjay Pandanaboyana, Keno Mentor, Jade Lembo, Samantha Carswell

“…Findings will be published in peer-reviewed journals and presented at national and international conferences.Trial registration number This study will automatically be registered with the ISRCTN registry by the HRA as part of the ethics approval process.…”
Get full text

Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection by Zhicheng Lin, Zi-Qiang Lang, Lingzhong Guo, Dawn C Walker, Malwina Matella, Mengxiao Wang, Craig Murdoch

“…Here we developed a novel deep learning convolutional neural network (CNN)-based method to automatically differentiate normal, OPMD and malignant oral tissues using EIS measurements. …”
Get full text

Snow Depth Extraction From Time‐Lapse Imagery Using a Keypoint Deep Learning Model by C. M. Breen, W. R. Currier, C. Vuyovich, Z. Miao, L. R. Prugh

“…By integrating computer vision algorithms with snow pole photography, we present a method that uses a keypoint detection model to automatically observe snow height across a network of sites. …”
Get full text

RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…In contrast to traditional methods, deep learning models are capable of processing large-scale, high-dimensional, and complex datasets to automatically learn latent feature relationships, making them particularly suitable for scenarios involving multimodal data fusion. …”
Get full text

On the integration of the methods of forming and research of images of objects against the background of noises and interference by M. T. Nguyen, V. I. Nefedov, N. S. Chekalkin, I. V. Kozlovsky, A. V. Malafeev, N. A. Mirolyubova, M. A. Nazarenko

“…Digital processing of objects is mainly used now, which can be defined as a process during which an image is: modified to obtain a new one, which will be more convenient for research by a computer, or by the human eye; it is transformed into a certain set of characteristics and parameters visible and related to the observation area that are automatically analyzed by the computer, or directly presented to a person, taking into account pre-established criteria for developing a final conclusion about the studied object. …”
Get full text

miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts. by Albert Pla, Xiangfu Zhong, Simon Rayner

“…Using this data, we implemented and trained a deep neural network-composed of autoencoders and a feed-forward network-able to automatically learn features describing miRNA-mRNA interactions and assess functionality. …”
Get full text

Deep Learned Feature Technique for Human Action Recognition in the Military using Neural Network Classifier by Adeola O Kolawole, Martins E Irhebhude, Philip O Odion

“…This method used the VGG16 model to automatically extract deep learned features at the max-pooling layer and the input presented to neural network classifier for classification into the various classes of human actions achieving 90% recognition accuracy which is at training time of 104.91secs. …”
Get full text

An Energy-Aware, Self-Adaptive, Battery-Free Smart Wristband for Long-Term Health Monitoring by Shihong Chen, Esther Rodriguez-Villegas

“…As a result, battery-powered wearables often face trade-offs between size, energy storage, performance, and operating time. This research presents a self-sustainable, battery-free smart wristband for continuous heart rate monitoring. …”
Get full text

Use of blockchain technology as supply chain management system involving air transport by I. O. Poleshkina, N. V. Vasilyeva

“…Overall optimization of the logistic processes, automatization of the execution of verified financial transactions can be achieved. …”
Get full text

Spatiotemporal variations of the United Arab Emirates coastline each decade from 1991 to 2021 by Justine Sarrau, Khameis Al Abdouli, Abdelgadir Abuelgasim

“…Coastal anthropization, or the influence of waves and currents, can significantly alter the coastal landscape and morphology, presenting a daunting task. Severe consequences have been demonstrated, leading to the import of sand to eroding coasts and altering living conditions for marine ecosystems. …”
Get full text

A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images by Peter C. Esselman, Shadi Moradi, Joseph Geisz, Christopher Roussi

“…The software accounts for lens distortion, underwater magnification effects and fish body curvature to automatically estimate fish lengths and the areas of images where they were captured. …”
Get full text

TailTimer: A device for automating data collection in the rodent tail immersion assay. by Mallory E Udell, Jie Ni, Angel Garcia Martinez, Megan K Mulligan, Eva E Redei, Hao Chen

“…These two factors greatly reduce the reproducibility of tail immersion assay data and likely contribute to some of the discrepancies present among relevant literature. We designed a device, TailTimer, which uses a Raspberry Pi single-board computer, a digital temperature sensor, and two electrical wires, to automatically record tail withdrawal latency and water temperature. …”
Get full text

Design and Implementation of a Physically Secure Open-Source FPGA and Toolchain by Sergej Meschkov, Daniel Lammers, Mehdi B. Tahoori, Amir Moradi

“…We also show how any basic Hardware DescriptionLanguage ( HDL) design is automatically mapped to the primitives of our fabric,embedding provable hardware security, and bypassing the necessity for hardwaresecurity proficiency in this process. …”
Get full text

Developing High School Students’ Listening Skills in The Context of Multimodal English Communication by Means of a Moodle-Based Training Program by M. V. Danilin, L. A. Milovanova

“…The described training program acts as a technological core of a method of teaching listening in the context of multimodal communication in English and is aimed at ensuring a partial automatization of the developmental process of the specific receptive and interpretative skills that Russian high school students require to participate both actively and effectively in intercultural multimodal communication in English.…”
Get full text

Co-Designed Digital Device for Tracking Rehabilitation Dosage in a Clinical Environment After Stroke: Mixed Methods Validity and Feasibility Study by Fiona Boyd, Gillian Sweeney, Mark Barber, Elaine Forrest, Mark Dunlop, Andrew Kerr

“…ObjectiveThis study aimed to assess the validity, feasibility, and usability of a novel co-designed digital tracker using Near Field Communication technology to automatically log rehabilitation dosage in people with stroke history, providing an objective and low-burden solution for clinical environments. …”
Get full text

Tibyan corpus: balanced and comprehensive error coverage corpus using ChatGPT for Arabic grammatical error correction by Ahlam Alrehili, Areej Alhothali

“…Scarce and low-quality data present particular challenges when learning from these domains. …”
Get full text

Artificial Intelligence and Moral intelligence by Laura Pana

“…We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined, even unpredictable conduct), 2- entities endowed with diverse or even multiple intelligence forms, like moral intelligence, 3- open and, even, free-conduct performing systems (with specific, flexible and heuristic mechanisms and procedures of decision), 4 – systems which are open to education, not just to instruction, 5- entities with “lifegraphy”, not just “stategraphy”, 6- equipped not just with automatisms but with beliefs (cognitive and affective complexes), 7- capable even of reflection (“moral life” is a form of spiritual, not just of conscious activity), 8 – elements/members of some real (corporal or virtual) community, 9 – cultural beings: free conduct gives cultural value to the action of a ”natural” or artificial being. …”
Get full text