La pêcherie migrante des petits pélagiques côtiers et l’approvisionnement de l’industrie de la farine et de l’huile de poisson en Mauritanie by Assane Dedah Fall, Elimane Abou Kane, El hadj Bara Dème, Pierre Failler, Abdou Daim Dia

“…The results show that the migratory pelagic fishery has a significant impact on the development of the processing industry and the exploitation of fishery products in Mauritania. …”
Get full text

LSTM-Based NLP Chatbot for Fish E-Marketplace at BBI Cangkiran Mijen by Tri Agus Wahyudi, Riana Defi Mahadji Putri, Ulfah Mediaty Arief, Vera Noviana Sulistyawan

“…Moreover, customer inquiries tend to be repetitive, making the information service less effective. To address these issues, this study aims to develop a web-based fish e-marketplace system integrated with a natural language processing (NLP) chatbot using the Long Short-Term Memory (LSTM) algorithm. …”
Get full text

SUBJECTIVE EVALUATION OF CONDITIONS OF TENSION AND OCCUPATIONAL HEALTH JOBS ROLLING PRODUCTION by Нурлан Кемельбекович Смагулов, Тулеген Нургалиевич Хамитов

“…Statistical processing was carried out by calculating the proportion of identical answers to the same question. …”
Get full text

Harnessing Secondary Resources for Sustainable and Circular Practices in the Construction Sector: A Scoping Review by Dolores Hidalgo, Francisco Verdugo

“…Transforming them into valuable construction resources can significantly reduce the environmental footprint associated with extracting and processing new raw materials. The growing use of cellulose in products like insulation and fiberboards, and the incorporation of tailings and slags into concrete and road materials, underscores the feasibility of these practices. …”
Get full text

Facial Expression Recognition using Convolutional Neural Networks with Transfer Learning Resnet-50 by Annisa Ayu Istiqomah, Christy Atika Sari, Ajib Susanto, Eko Hari Rachmawanto

“…This study addresses these issues by employing transfer learning with ResNet-50 and effective pre-processing techniques. …”
Get full text

Efficient Privacy-Preserving Range Query With Leakage Suppressed for Encrypted Data in Cloud-Based Internet of Things by Sultan Basudan, Abdulrahman Alamer

“…Data owners are increasingly drawn to outsource their data due to the massive processing capabilities and scalable storage offered by cloud-based Internet of Things (IoT) solutions. …”
Get full text

Handling data sparsity via item metadata embedding into deep collaborative recommender system by Gopal Behera, Neeta Nain

“…Many investigations have been made to tackle some of these issues with the help of matrix factorization (MF) approaches. …”
Get full text

Multi‐Frequency Oscillatory Hydraulic Tomography Improves Heterogeneity Imaging and Resolution and Reduces Uncertainty by Jeremy R. Patterson, Michael Cardiff

“…Abstract Understanding subsurface heterogeneity is crucial to predicting groundwater flow pathways, mixing, and other processes in aquifers and other fluid reservoirs. Despite significant effort developing geophysical tools to understand this heterogeneity, geophysical mapping of aquifer flow parameters—transmissivity (T), and storativity (S)—remains challenging due to both uncertainty in petrophysical relationships and resolution/data coverage issues. …”
Get full text

Tightly Coupled SLAM Algorithm Based on Similarity Detection Using LiDAR-IMU Sensor Fusion for Autonomous Navigation by Jiahui Zheng, Yi Wang, Yadong Men

“…However, existing algorithms still encounter challenges, such as localization errors and suboptimal utilization of sensor data. To address these issues, this paper proposes a tightly coupled SLAM algorithm based on similarity detection. …”
Get full text

Permanent Magnets in Sustainable Energy: Comparative Life Cycle Analysis by Svetlana Orlova, Anton Rassõlkin

“…By employing Life Cycle Assessment (LCA) with openLCA software, we evaluate the environmental impacts across the life cycles of ferrite, NdFeB, and MnAlC magnets, focusing on extraction, processing, and recycling. Various studies have explored different aspects of the LCA of NdFeB magnets, focusing on production methods, recycling processes, and the environmental impacts of different rare-earth sources. …”
Get full text

Impact of Virtual Reality on Brain–Computer Interface Performance in IoT Control—Review of Current State of Knowledge by Adrianna Piszcz, Izabela Rojek, Dariusz Mikołajewski

“…Particularly noteworthy is the emphasis on the importance of adaptive signal processing techniques, which are key to enhancing the overall control and immersion experienced by individuals in virtual environments. …”
Get full text

Creation of educational complexes as a method of ensuring preschool education accessibility and compliance with the requirements of the federal state educational standard for presc... by E. A. Gavrilova, N. A. Bulaeva

“…The urgent issues of preschool education modernization related to the process of creating educational complexes are disclosed. …”
Get full text

UNIVERSAL INFORMATION BLOCKS AS PART OF THE DATABASE MANAGEMENT SYSTEM OF THE OPERATIONAL DUTY SHIFT OF THE СONTROL СENTER IN CRISIS SITUATIONS by A. L. Popov

“…The aim of the study is to develop a set of interconnected information blocks for the formation, subsequent processing and application of data in the preparation of reporting and functional documents.Method. …”
Get full text

Economic aspects of production of livestock products in agricultural enterprises by Lanchenko Ye., Ivchenko V.

“…To solve the problematic issues of agribusiness development in Ukraine, which are related to logistics and sales of agricultural products on foreign markets, the need to diversify the directions of production in agricultural enterprises through the combination of crop production and more labour-intensive livestock and processing production units were confirmed. …”
Get full text

Intelligent policy framework: Natural resource conservation, knowledge and big data analytics by Nina Xiao, Xianhe Qu

“…Although shortcomings remain in data processing and policy prediction accuracy, the methods proposed in this study offer new ideas and tools for addressing these issues.…”
Get full text

Comparison of Naive Bayes and SVM Algorithms for Sentiment Analysis of PUBG Mobile on Google Play Store by Putri Ratna Sari, Dwi Rosa Indah, Errissya Rasywir, Mgs Afriyan firdaus, Ghita Athalina

“…Despite Naïve Bayes's faster processing speed, SVM exhibited greater precision, recall, and F1-score…”
Get full text

Analysis and comprehensive assessment method of power quality in advanced distribution networks based on complex network theory by Jieyun Zheng, Ruochen Chen, Zhanghuang Zhang, Xin Wei, Jingwei Xue

“…The integration of numerous power electronic devices has caused growing severity of power quality issues in present-day distribution networks. Moreover, the complexity of the networks has resulted in a significant increase in the volume of power quality data, posing greater challenges in data processing and power quality assessment.MethodsThis paper investigates a novel method for comprehensive assessment of power quality in advanced distribution networks (ADN) grounded in complex network theory. …”
Get full text

Security protection method based on mimic defense and Paillier encryption for smart IoT terminals by GU Tiansheng, ZENG Fukang, SHAO Sisi, NIE Yijun, JI Zongkai, ZHENG Yulu, SHI Yuchen, LIU Shangdong, JI Yimu

“…In particular, the endogenous security and secure transmission issues faced by IoT edge-area smart terminals, due to uncertain threats like unknown vulnerabilities and backdoors, are of considerable concern in the realm of smart IoT. …”
Get full text

Privacy, ethics, transparency, and accountability in AI systems for wearable devices by Petar Radanliev, Petar Radanliev

“…The framework operationalises ethical principles through concrete mechanisms, including explainable AI, bias mitigation techniques, and consent-aware data processing pipelines, while aligning with legal standards such as the GDPR, the UK Data Protection Act, and the EU AI Act. …”
Get full text

End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

“…The proposed approach addresses these issues by learning discriminative patterns directly from raw sensor data and automating the classification process. …”
Get full text