A Literature Review on the European Legislative Framework for Energy Efficiency, Nearly Zero-Energy Buildings (nZEB), and the Promotion of Renewable Electricity Generation by Eugen Iavorschi, Laurențiu Dan Milici, Visarion Cătălin Ifrim, Constantin Ungureanu, Ciprian Bejenar

Get full text

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review by Jayadev Gyani, Ahsan Ahmed, Mohd Anul Haq

Get full text

DeSFAM: An Adaptive eBPF and AI-Driven Framework for Securing Cloud Containers in Real Time by Sehar Zehra, Hassan Jamil Syed, Fahad Samad, Ummay Faseeha

Get full text

Contrastive Learning‑based Simplified Graph Convolutional Network Recommendation by YU Yuchen, WU Siqi, ZHAO Qinghua, WU Xuhong, WANG Lei

Get full text

Effective Skin Cancer Diagnosis Through Federated Learning and Deep Convolutional Neural Networks by Mabrook S. Al-Rakhami, Salman A. AlQahtani, Abdulaziz Alawwad

Get full text

Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data by Aziz Kubilay Ovacıklı, Mert Yagcioglu, Sevgi Demircioglu, Tugberk Kocatekin, Sibel Birtane

Get full text

VBCNet: A Hybird Network for Human Activity Recognition by Fei Ge, Zhenyang Dai, Zhimin Yang, Fei Wu, Liansheng Tan

Get full text

COmmunity and Single Microbe Optimisation System (COSMOS) by Lavanya Raajaraam, Karthik Raman

“…While monocultures offer simplicity, communities provide metabolic diversity and cooperative biosynthesis. To systematically evaluate these systems, we developed COmmunity and Single Microbe Optimisation System (COSMOS), a dynamic computational framework that simulates and compares monocultures and co-cultures to determine optimal microbial systems tailored to a specific environment. …”
Get full text

Advanced Network Traffic Prediction Using Deep Learning Techniques: A Comparative Study of SVR, LSTM, GRU, and Bidirectional LSTM Models by Wang Yuxin

“…This study examines the effectiveness of four machine learning models—Support Vector Regression (SVR), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU), and Bidirectional Long Short-Term Memory (Bi-LSTM)—in forecasting traffic patterns using both web-based and real-world datasets. The models are evaluated based on their generalization accuracy, as measured by Mean Absolute Percentage Error (MAPE), computational efficiency, and their ability to capture underlying traffic dynamics. …”
Get full text

Image captioning using bidirectional LSTM neural network by Farnaz Hoseini, Anaram Yaghoobi Notash

“…To manage the high computational demands, MobileNet is employed to optimize performance. …”
Get full text

Multistage fall detection framework via 3D pose sequences and TCN integration by Leitao Qi, Haibo Sun

“…Subsequently, we introduce a robust fall detection network that leverages temporal convolutions to process the 3D pose sequences, capturing long-term dependencies while maintaining low computational costs for fall event recognition. Evaluated on the large-scale benchmark action dataset NTU RGB+D, our method achieves a fall detection accuracy of 99.87%, demonstrating its state-of-the-art performance and effectiveness.…”
Get full text

Nutrient and heavy metal profiling of Teff (Eragrostis tef) under water hyacinth compost and fertilizer treatments using UV-Vis spectroscopy and flame atomic absorption spectroscop... by Dessie Tibebe, Habtam Jember, Shimelis Aregahagne, Yezbie Kassa, Kehali Jember, Marelign Adugna, Teferi Alem, Fenta Assefa, Agmas Amare, Marye Mulugeta, Tarekegn Fentie, Zerubabel Moges, Zemenay Zewdu, Hailu Sheferaw Ayele

Get full text

Image Quality and Lesion Detectability with Low-Monoenergetic Imaging: A Study of Low-Concentration Iodine Contrast in Hepatic Multiphase CT for Chronic Liver Disease by Jae En Kim, Yewon Lim, Jin Sil Kim, Hyo Jeong Lee, Jeong Kyong Lee, Hye Ah Lee

“…Background: This study aimed to evaluate whether low-concentration iodine contrast-enhanced multiphase low-monoenergetic computed tomography (LCLM CT; 270 mg I/mL, 40 keV) is non-inferior to standard-dose computed tomography (SDCT; 350 mg I/mL) in image quality and lesion detectability for chronic liver disease patients. …”
Get full text

Development of a 3D cephalometric index to grade severity of dentofacial deformity in patients with juvenile idiopathic arthritis by Stratos Vassis, Mia Glerup, Ida Tambjerg, Annelise Küseler, Cory M. Resnick, Carlalberta Verna, Troels Herlin, Lillemor Berntson, Charlotte Myrup, Ellen Nordal, Marite Rygg, Kristiina Aalto, Sven Erik Noerholt, Thomas K. Pedersen, Peter Stoustrup

“…Abstract This investigation aimed to develop a radiographic 3D cephalometric index to grade severity of dentofacial deformity in patients with juvenile idiopathic arthritis (JIA), and to perform a validation against expert evaluations. Data were collected from a population-based Nordic JIA cohort of 240 patients that received a cone-beam computed tomography (CBCT) scan approximately 17 years after onset of JIA. …”
Get full text

Frozen-field Modeling of Coronal Condensations with MPI-AMRVAC. II. Optimization and Application in 3D Models by Yuhao Zhou, Xiaohong Li, Jack M. Jenkins, Jie Hong, Rony Keppens

“…A series of 2D tests are done to evaluate the performance of the hyperbolic TC and the TRAC method. …”
Get full text

Soil loss estimation in Ethiopia: a comprehensive review of the RUSLE model integrated with geospatial technologies by Baye Terefe, Tadele Melese, Aderaw Tsegaye, Amene Afework, Titnaw Yibeltal, Abebe Anagaw, Fekadu Temesgen, Tatek Belay, Gizachew Assefa, Birhanu Bekele Mencho

“…Specifically, it evaluates the specific parameters used, the type of input data, the validation approaches, and the role of GIS and remote sensing in the computation process of the RUSLE Model. …”
Get full text

Real-time and modelled performance assessment and validation studies of PV modules operating in varied climatic zones by Yogesh Kumar Singh, Santosh Dubey, Pramod Rajput, K Y Singh, Kailash Pandey

“…The performance ratio of all the PV module technologies has been evaluated through both the PVSOL and using real time data. …”
Get full text

scPharm: Identifying Pharmacological Subpopulations of Single Cells for Precision Medicine in Cancers by Peng Tian, Jie Zheng, Keying Qiao, Yuxiao Fan, Yue Xu, Tao Wu, Shuting Chen, Yinuo Zhang, Bingyue Zhang, Chiara Ambrogio, Haiyun Wang

“…Its superior performance and computational efficiency are confirmed through comparative evaluations with other single‐cell prediction tools. …”
Get full text

Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

Get full text

Disruption Management Approaches for Berth Scheduling in Bulk Terminals by Alan Dávila de León, Eduardo Lalla-Ruiz, Belén Melián-Batista

“…Finally, the solution approaches are evaluated together with and without the incorporation of buffer-time management. …”
Get full text