Extracting Sensory Preferability from Motor Streams by Vilelmini Kalampratsidou

“…The results also indicated the audio and visual conditions that optimized the participant’s sensory–motor system performance. (4) Conclusions: The outcomes suggest that we can extract from motor stream particulars that go beyond an individual’s movement qualities and toward the contextual sensory inputs accompanying the movement data, even when participants execute the very same task of walking.…”
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Using semantic indexing and thesauri in processing dermoscopic images by Г. А. Гулмирзаева

“…The developed algorithm can be integrated into dermatology information systems to automate diagnostics, enable intelligent data sorting, and support the development of recommendation systems. …”
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Consumer willingness to pay for green express packaging in e-commerce: an eye-tracking experiment analysis by Zhenshui Yan, Tianbo Wang, Zizheng Song, Jiarui Liu, Wei Lyu

“…However, price plays a significant restrictive role in the choice of green express. Eye-tracking data reveal that green express option attracts more visual attention than traditional one. …”
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Multi-Scale Feature Fusion Enhancement for Underwater Object Detection by Zhanhao Xiao, Zhenpeng Li, Huihui Li, Mengting Li, Xiaoyong Liu, Yinying Kong

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Technological changes and its impact on dynamics and content of cartographic representations by Petrović Đorđe, Borisov Mirko, Stanojević Vojkan, Milonjić Zlatan, Stanković Saša Mil.

“…With the advent of new technologies, the way of creating and presenting spatial data is changed, which has caused cartography as a science being changed as well. …”
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Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer by Shaolong Zheng, Kungan Zeng, Zhenni Li, Qianming Wang, Kan Xie, Ming Liu, Shengli Xie

“…The first challenge is an inability to effectively exploit irregular GNSS measurement data caused by an inconsistent number of visible satellites in different epochs. …”
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FPGA-oriented lightweight multi-modal free-space detection network by Feiyi Fang, Junzhu Mao, Wei Yu, Jianfeng Lu

“…However, multi-modal CNNs have high data throughput and contain a large number of computationally intensive convolution calculations, limiting their feasibility for real-time applications. …”
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Smile perception among dental students and interns: the role of gender and academic level by Huma Farid, Shameen Haroon, Aisha Sher, Ayesha Yasir

“…Data were reported as median and interquartile range (IQR) for each variable, with statistical significance set at p < 0.05. …”
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Lived experiences and coping strategies of people living with Glaucoma in Nigeria: A qualitative study. by Affiong Andem Ibanga, Nnaemeka Meribe, Bernadine Nsa Ekpenyong, Kelechukwu Enyinnaya Ahaiwe, Elizabeth Dennis Nkanga, Dennis George Nkanga, Uchechukwu Levi Osuagwu

“…<h4>Method</h4>This study utilised a qualitative research methodology. Data was collected using audio-recorded in-depth semi-structured interviews. …”
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IoT Based Health Monitoring with Diet, Exercise and Calories recommendation Using Machine Learning by Muhammad Hassaan Naveed, Omar Bin Samin, Muhammad Bilal, Mustehsum Waseem

“…The system comprises a website for administration and member registration, coupled with an RFID-based hardware device for member authentication and BMI measurement. Member data, including BMI, is securely stored, and visualized on personalized profiles through line charts. …”
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SB‐YOLO‐V8: A Multilayered Deep Learning Approach for Real‐Time Human Detection by Prince Alvin Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Edward Kwadwo Boahen, Prince Boakye‐Sekyerehene, Abdullai Dwumfour

“…However, these models often require large amounts of labeled data, leading to performance degradation when applied to tasks with limited data sets, particularly in scenarios involving moving objects. …”
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Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification by P. Ankit Krishna, Neelamadhab Padhy, Archana Patnaik

“…Plant diseases were accurately classified using state-of-the-art convolutional neural networks (CNNs), such as VGG16, ResNet50, and EfficientNetV2, based on visual signals including leaf color and texture. <b>Results:</b> Based on experimental data, a 99.98% accuracy rate was attained by the suggested recommendation system that used CNN. …”
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The Use of a Viscous Cysteamine Eyedrop in a Belgian Cohort: Early 3-Year Results by Emiel Matthys, Heleen Delbeke, Karel Van Keer, Ingele Casteels

“…The data demonstrates the difficulty of reversing high levels of corneal crystal deposition and anterior segment complications. …”
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Corneal endothelial and retinal microvascular changes in pseudoexfoliation syndrome: insights from specular microscopy and OCT angiography by Kursat Atalay, Ibrahim Kocak, Nihat Sayin, Busra Cirak

“…Abstract Purpose To investigate the correlation between corneal specular microscopy (SM) and macular optical coherence tomography angiography (OCTA) data in patients with pseudoexfoliation syndrome (PXS). …”
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Benchmarking Accelerometer and CNN-Based Vision Systems for Sleep Posture Classification in Healthcare Applications by Minh Long Hoang, Guido Matrella, Dalila Giannetto, Paolo Craparo, Paolo Ciampolini

“…For the image-based method, the Visual Geometry Group 16 (VGG16) convolutional neural network was fine-tuned with data augmentation strategies including rotation, reflection, scaling, and translation to enhance model generalization. …”
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Built environment characteristics and driving speed in 30 km/h zones: a Dutch national analysis by Paul Schepers, Werner van Loo, Wouter Mieras, Hans Drolenga, Dick de Waard, Marco Helbich

“…Driving speed and traffic volume data were estimated using floating car data, while built environment characteristics were collected from public sources. …”
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Innovative approaches for skin disease identification in machine learning: A comprehensive study by Kuldeep Vayadande, Amol A. Bhosle, Rajendra G. Pawar, Deepali J. Joshi, Preeti A. Bailke, Om Lohade

“…For these illnesses to be managed and treated effectively, prompt and correct diagnosis is essential, yet it often presents a challenge due to the subjective nature of visual examination and the variability in clinical presentations. …”
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Effectiveness of transcranial direct electrical stimulation in management of patellofemoral pain syndrome: A randomized controlled trial by Mahesh Sharma, Ramesh C. Patra, Shashikumar C. Govindappa

“…The experimental group was treated with transcranial direct electrical stimulation and knee muscles strengthening exercises, whereas the control group was treated with knee strengthening exercises only. Data for pain using Visual Analog Scale, disability or function using Anterior Knee Pain Score, and quality of life using The Knee Injury and Osteoarthritis Outcome Score was collected for both groups at baseline and in 6th week. …”
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CHANGE IN THE QUALITY OF LIFE OF CHILDREN AFTER SURGICAL TREATMENT OF RETINAL DETACHMENT by A. N. Sergienko, V. V. Dashina, A. V. Malyshev, O. I. Lysenko, S. V. Yanchenko

“…A week after the surgical treatment, no increase in visometric data was observed. Six months later, a significant increase in visual acuity was revealed. …”
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Electroencephalographic (EEG) analysis of hue perception differences between art and non-art majors: insights from the P2 and P3 components by Liting Song, Guanghui Zhang, Johanna Silvennoinen, Fengyu Cong

“…Abstract Background Color plays a pivotal role in visual perception, shaping emotions, attention, and cognition, particularly in art-related contexts. …”
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