Wind Energy and Assessment of Wind Energy Potential in Turkey: A Case of Study from Sinop Province by Metin Dağtekin, Bekir Yelmen

“…In this study, the production potential of electrical energy from wind energy was investigated by using wind data for Sinop province. Wind energy potential on the availability of wind energy systems suitable for its natural structure for Sinop province; Visual Basic 6.0 was determined using the computer package program. …”
Get full text

Research on Calibration Method of Laser Camera Sensor by LIU Shiwang, HU Yunqing, LIN Jun

“…Laser camera sensor calibration is a key work step for a visual inspection system, and accurate solution of calibration model parameters is the difficulty of laser camera sensor calibration. …”
Get full text

CLINICODIAGNOSTIC PARALLELS IN ADENOMYOSIS-RELATED INFERTILITY by A. R. Jhigalenko, l. Yu. Karakhalis, N. S. Papova

“…The intensity of algomenorrhea, dyspareunia, and pelvic pain outside of menses is correlated with US data: the resistance indexes (RI) of uterus vessels as Hatle index and thickness of «transition area» were significantly higher in groups 1 and 2 than in control (р<0,0001); hypervascularization and the presence of the dark red areas showed high sensitivity and specificity; the correlation coefficient between hysteroscopically signs and visual evaluation scale of pain came to R=0,637.Conclusion. …”
Get full text

Monocular weakly supervised depth and pose estimation method based on multi-information fusion by Zhimin Zhang, Jianzhong Qiao, Shukuan Lin

“… Current monocular visual odometry methods usually either require a large amount of expensive ground truth data or require effective training to obtain suboptimal results. …”
Get full text

High entropy alloy property predictions using a transformer-based language model by Spyros Kamnis, Konstantinos Delibasis

“…Abstract This study introduces a language transformer-based machine learning model to predict key mechanical properties of high-entropy alloys (HEAs), addressing the challenges due to their complex, multi-principal element compositions and limited experimental data. By pre-training the transformer on extensive synthetic materials data and fine-tuning it with specific HEA datasets, the model effectively captures intricate elemental interactions through self-attention mechanisms. …”
Get full text

The intersection between logical empiricism and qualitative nursing research: a post-structuralist analysis by Martin Salzmann-Erikson

“…Results The article focusing on the “what abouts” of sample size, analytic framework, data source, data analysis, and rigour and methodological considerations, challenging the predominance of semi-structured interviews and the reliance on spoken voice as primary data sources, and re-evaluating the conventional notion of “rigour”. …”
Get full text

An event related potential study of ihibitory and attentional control in Williams syndrome adults. by Joanna M H Greer, Colin Hamilton, Mhairi E G McMullon, Deborah M Riby, Leigh M Riby

“…A task-irrelevant infrequent stimulus was also present at randomised intervals during the session. The P3a latency data response related to task-irrelevant stimulus processing was delayed in WS. …”
Get full text

Advanced deep learning models based on neutrosophic logic for the analysis of brain tumor medical images by Dina Atef, Doaa El Shaha

“…NS theory delineates three domains: True (T), Indeterminate (I) and False (F) to address picture uncertainty and noise, hence enhancing deep learning models' capacity to analyze complex, ambiguous visual data. To assess the methodology, four advanced deep learning models MobileNet, VGG16, DenseNet121 and InceptionV3 were employed, and their efficacy was analyzed on brain tumor medical image datasets. …”
Get full text

Modern look on congenital kidney and urinary tract abnormalities early diagnostics in children by О. V. Spakhi

“…The article outlines the main provisions of modern data on early diagnostics of the with congenital kidney and urinary tract abnormalities in children. …”
Get full text

VAD-CLVA: Integrating CLIP with LLaVA for Voice Activity Detection by Andrea Appiani, Cigdem Beyan

“…Voice activity detection (VAD) is the process of automatically determining whether a person is speaking and identifying the timing of their speech in an audiovisual data. Traditionally, this task has been tackled by processing either audio signals or visual data, or by combining both modalities through fusion or joint learning. …”
Get full text

Evaluation of in-office tooth whitening treatment with violet LED: protocol for a randomised controlled clinical trial by Lara Jansiski Motta, Anna Carolina Ratto Tempestini Horliana, Sandra Kalil Bussadori, Maria Fernanda Setúbal Destro Rodrigues, Ana Eliza Castanho Garrini dos Santos, Marcelo Mendes Pinto, Dácio Antonio Pantano Junior, Aldo Brugnera Jr, Fátima Antonia Aparecida Zanin

“…After determining the normality of the data, the Kruskal-Wallis test will be used for non-parametric data. …”
Get full text

Topical Treatment with Cord Blood Serum in Glaucoma Patients: A Preliminary Report by Emilio Campos, Piera Versura, Giuseppe Giannaccare, Adriana Terzi, Silvia Bisti, Stefano Di Marco, Marina Buzzi

“…As patients were also affected by advanced glaucoma at risk of vision loss and under treatment with hypotensive drugs, they had been also monitored over the same period with IOP controls and visual field tests in our unit. Results. During subsequent visits, data from Mean Deviation and Pattern Standard Deviation in the visual fields were retrospectively collected and compared with before and after treatment with CBS, and an amelioration was observed. …”
Get full text

IVEMPS: IoT-Based Vehicle Emission Monitoring and Prediction System by Omar Farrag, Ahmad Mansour, Baraa Abed, Amr Abu Alhaj, Taha Landolsi, A. R. Al-Ali

“…Finally, the system provides visualizations of the collected data through a dedicated web-based dashboard. …”
Get full text

ReflectDetect: A software tool for AprilTag-guided in-flight radiometric calibration for UAV-mounted 2D snapshot multi-camera imagery by Luca Joshua Francis, Lewis Gabriel B. Geissler, Nathan Okole, Bela Gipp, Cyrill Stachniss, René Heim

“…Unmanned Aerial Vehicles (UAVs) equipped with optical sensors have transformed remote sensing in vegetation science by providing high-resolution, on-demand data, enhancing studies in forestry, agriculture, and environmental monitoring. …”
Get full text

HAT: Achieving Comprehensive Inpainting of Lunar Spectral Imagery by Dingruibo Miao, Depei Gu, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

“…Moreover, with its unique hole-aware multihead attention mechanism, the model can adaptively handle data voids of various sizes and shapes, avoid interactions with invalid feature (i.e., those within data missing regions), and hence, generate completed images that are more visually and semantically realistic. …”
Get full text

A color image encryption scheme utilizing a logistic-sine chaotic map and cellular automata by Shiji Sun, Wenzhong Yang, Yabo Yin, Xiaodan Tian, Guanghan Li, Xiangxin Deng

“…Abstract The rapid advancement of 5G technology has led to a significant increase in the generation and transmission of visual image data, underscoring the growing need for robust privacy protection. …”
Get full text

The Microchimerism Literature Atlas by Michael Christian Gruber, Daniel Kummer, Katja Sallinger, Henderson James Cleaves, Arsev Umur Aydinoğlu, Thomas Kroneis

“…The MCLA dataset offers a clearly structured data table view, combined with dynamic graphical data representation and visual citation analysis, aiding in the investigation and identification of research trends and patterns. …”
Get full text

Real-Time EEG-Based BCI for Self-Paced Motor Imagery and Motor Execution Using Functional Neural Networks by Mavin Heim, Florian Heinrichs, Michael Hueppe, Fran Nunez, Alexander Szameitat, Muriel Reuter, Stefan M. Goetz, Corinna Weber

“…In pursuit of a more accessible electroencephalography (EEG) artificial intelligence (AI) training scenario, the paper introduces a self-paced environment for auto-labeling EEG data. A customdesigned Pong game serves as the training task and enables subjects to engage in MI/ME tasks while receiving immediate visual feedback. …”
Get full text

Sustainable AI for plant disease classification using ResNet18 in few-shot learning by Fareeha Naveed, Adven Masih, Jabar Mahmood, Moeez Ahmed, Aitizaz Ali, Aysha Saddiqa, Mohamed Shabbir Hamza Abdulnabi, Ebenezer Agbozo

“…Conventional methods like visual inspection and laboratory testing are both time-consuming and costly. …”
Get full text

Complex endoscopic examination in differential diagnosis of various macroscopical forms of lymphomas and cancer of stomach by I. I. Kruglova, O. A. Malichova, Z. A. Suanova, B. K. Poddubniy, I. V. Poddubnaja

“…The work was based on examination and treatment data of 29 patients with various macroscopical types of lymphoma and carcinoma of the stomach. …”
Get full text