A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…As technology advances and the use of social networks and the Internet grows, there's a significant increase in the production of data. …”
Get full text

Ranking nodes in bipartite systems with a non-linear iterative map by Andrea Mazzolini, Michele Caselle, Matteo Osella

“…This paper introduces a method based on a non-linear iterative map to evaluate node relevance in bipartite networks. By tuning a single parameter γ, the method captures different concepts of node importance, including established measures like degree centrality, eigenvector centrality and the fitness-complexity ranking. …”
Get full text

Variation in Feed Point within Differed L-Slot Multi-frequency Microstrip Patch by Sandeep Arya, Ramni Gupta, Saleem Khan, Parveen Lehana

“…It is designed successfully for mobile communication systems and Wireless Local Area Networks (WLAN) applications. The results obtained had showed better improvement in the return loss and radiation pattern in comparison to the other existing antennas.…”
Get full text

Probing for consciousness in machines by Mathis Immertreu, Mathis Immertreu, Achim Schilling, Achim Schilling, Andreas Maier, Andreas Maier, Patrick Krauss, Patrick Krauss, Patrick Krauss

Get full text

Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting by Mustafa M. Kara, H. Irem Turkmen, M. Amac Guvensan

“…We evaluated these strategies using four popular model types: long short-term memory (LSTM), gated recurrent unit networks (GRUs), bi-directional LSTM, and convolutional neural networks (CNNs). …”
Get full text

Estimation the validity of remote sensed rainfall data over selected regions in Iraq by Zahraa Al-Montaser

“…Existing rain gauge networks lack the temporal and geographical coverage required for adequate monitoring. …”
Get full text

ANALISIS KESIAPAN PROGRAM STUDI DALAM PRODUCTION BASED EDUCATION: STUDI PADA PROGRAM STUDI D3 AKUNTANSI POLINES by Muhammad Noor Ardiansah

“…Resources have been managed, monitored and evaluated well (managed) are: curriculum resources, networking courses, lab facilities, ISO-based management. …”
Get full text

Novel, Reproducible, Consortia Factors Derived from Adipose Stem Cells for Burn Wound Treatment by Talavera-Adame D, Palomares M, Plaza MR, Rogowski N, Lee BS, Zemach A, Newman N

“…Finally, pro-angiogenesis was evaluated by the induction of tube-like structures and capillary networks in HMEC-1 cells promoted by CFx-δ 2.Results: Our technology enabled the production of CFx-δ 2 with enhanced efficiency and quality. …”
Get full text

Assessing Classic Maya multi-scalar household inequality in southern Belize. by Amy E Thompson, Gary M Feinman, Keith M Prufer

“…We then compare our findings to Gini coefficients for other Classic Maya polities in the Maya heartland and to contemporaneous polities across Mesoamerica. We see the patterning of wealth inequality across the polities as a consequence of variable access to networks of exchange. …”
Get full text

MindLift: AI-powered mental health assessment for students by Shanky Goyal, RishiRaj Dutta, Saurabh Dev, Kola Narasimha Raju, Mohammed Wasim Bhatt

“…By integrating convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based natural language processing (NLP) models, MindLift provides a comprehensive emotional analysis. …”
Get full text

A Trust Based Anomaly Detection Scheme Using a Hybrid Deep Learning Model for IoT Routing Attacks Mitigation by Khatereh Ahmadi, Reza Javidan

“…According to the presented results, the implemented detection scheme on all attack scenarios, demonstrated that the trend of estimated anomaly between real and predicted routing behavior is similar to the evaluated attack frequency of malicious nodes during the RPL process and in contrast, analyzed trust scores represent an opposite pattern, which shows high accurate and timely detection of attack incidences using our proposed trust scheme.…”
Get full text

Incorporating Attention Mechanism Into CNN-BiGRU Classifier for HAR by Ohoud Nafea, Wadood Abdul, Ghulam Muhammad

“…The proposed methodology uses convolutional neural networks (CNN) and recurrent neural networks (RNN) to extract the spatial and temporal features. …”
Get full text

Length Scales, Rates, and Variability of Mixing Downstream of River Confluences by Tasneem Haq Meem, Bruce L. Rhoads, Quinn W. Lewis, Muhammad Umar, Alexander Sukhodolov

“…The findings confirm that confluences are important locations of accelerated mixing in river networks.…”
Get full text

Using of Deep Learning in Beamforming Antenna Array by Ali Naji, Thamer M. Jamel M. Jamel, Hassan F. khazaal

“…To substantiate the efficacy of the technique, several illustrative examples are employed to steer the beam pattern in the desired direction. …”
Get full text

Dual-Path Interactive U-Net for Unsupervised Hyperspectral Image Super-Resolution by Wenchen Deng, Jianjun Liu, Jinlong Yang, Zebin Wu, Liang Xiao

Get full text

Climate change–drylands–food security nexus in Africa: From the perspective of technical advances, challenges, and opportunities by Hirwa, Hubert, Li, Fadong, Qiao, Yunfeng, Measho, Simon, Muhirwa, Fabien, Tian, Chao, Leng, Peifang, Muhirwa, Fabien, Tian, Chao, Leng, Peifang, Ingabire, Romaine, Itangishaka, Auguste Cesar, Chen, Gang, Turyasingura, Benson

“…To bridge the gap from science to policy making in the CDF nexus, it is vital to enhance the impacts and feedbacks of ecohydrological processes on agrarian production, ecosystem service tradeoffs and their effects on livelihoods, and regional development and preservation by optimization of the ecological water security pattern. This state-of-the-art assessment uses acquired information and knowledge to conceptually evaluate the past, current, and future impacts and risks and facilitates decision making through the delivery of long-term sustainability and socio-ecological resilience.…”
Get full text

A deep learning approach to real-time Markov modeling of ion channel gating by Efthymios Oikonomou, Yannick Juli, Rajkumar Reddy Kolan, Linda Kern, Thomas Gruber, Christian Alzheimer, Patrick Krauss, Andreas Maier, Tobias Huth

Get full text

Spectrogram-Based Arrhythmia Classification Using Three-Channel Deep Learning Model with Feature Fusion by Alaa Eleyan, Fatih Bayram, Gülden Eleyan

“…This spectrogram is further processed to generate a histogram of oriented gradients (HOG) and local binary pattern (LBP) features. Three separate 2D convolutional neural networks (CNNs) then analyze these three image representations in parallel. …”
Get full text

Deep learning-driven medical image analysis for computational material science applications by Li Lu, Mingpei Liang

“…IntroductionDeep learning has significantly advanced medical image analysis, enabling precise feature extraction and pattern recognition. However, its application in computational material science remains underexplored, despite the increasing need for automated microstructure analysis and defect detection. …”
Get full text

High Throughput 512Mbps True Random Number Generation Using Uncertainty in Mobile Communication Bands by Farid Alidoust Aghdam, Mohammad Erfanimehr, Hodjat Ahmadi, Armin Zarghami, Seyed Ahmad Madani, Ali Rostami

“…We have evaluated this through numerical calculations and antenna pattern measurements in the laboratory, and the results and their comparison show a promising performance. …”
Get full text