A national pharmacovigilance centre perspective on pandemic preparedness - lessons learned from the COVID-19 pandemic by Florence van Hunsel, Florence van Hunsel, Agnes Kant, Agnes Kant

“…Key recommendations for future pandemic preparedness include investing in Artificial Intelligence for further automation in the reporting process and in signal detection, looking at ways to tackle underreporting for specific associations or medicines in innovative ways and enhancing timely linkage between vaccination and healthcare data. …”
Get full text

High-spatial-resolution surface soil moisture retrieval using the Deep Forest model in the cloud environment over the Tibetan Plateau by Zhenghao Li, Qiangqiang Yuan, Xin Su

“…As a key climate variable, soil moisture plays a crucial role in drought detection, flood warning, and crop yield prediction. …”
Get full text

Automated classification of epileptic seizures using modified one-dimensional convolution neural network based on empirical mode decomposition with high accuracy by Ibtihal Hassan Elshekhidris, Magdi B. M. Amien, Ahmed Fragoon

“…Visually inspecting nonlinear EEG waves is a very difficult and time-consuming process. Therefore, to help with patients' long-term assessment and treatment, an effective automatic detection system is required. …”
Get full text

LLMs in Cyber Security: Bridging Practice and Education by Hany F. Atlam

“…Large Language Models (LLMs) have emerged as powerful tools in cyber security, enabling automation, threat detection, and adaptive learning. Their ability to process unstructured data and generate context-aware outputs supports both operational tasks and educational initiatives. …”
Get full text

Navigation System of Electric Car with Faster R-CNN for Pediatric Patient Transportation by Rosida Amalia Nurul Qoyima, Bambang Sri Kaloko, Khairul Anam, Muchamad Arif Hana Sasono, Dicky Yusril Efendi

“…Various Faster R-CNN models were tested in image data processing for marker detection as the electric car steering system. …”
Get full text

European collaborations for safe and efficient dismantling: digital twins, ontology and data exchange by Jacques Marie-Bénédicte, Räty Antti, Cabrerizo Joseph A. Ridao, Daniska Dusan

“…This paper gives an overview of European coordinated efforts to develop and demonstrate the use of digital tools and methods for safe and efficient decommissioning activities through the projects PLEIADES (PLatform based on Emerging and Interoperable Applications for enhanced Decommissioning processES) and DORADO (Digital twins and Ontology for Robot Assisted Decommissioning Operations). …”
Get full text

Robust Beamforming for Ultrasonic Imaging using Wavelet-based Thresholding and Coherence Weighting by Mozhgan Ehsani, Mehdi Bekrani, Solyman Garousi

“…Subsequently, the coherence weighting using the denoised signals is derived, and the obtained coherence weighting is then integrated into the beamforming process. Simulation results demonstrate that the proposed method achieves a significant reduction in background noise and speckles of the above beamformer, and particularly reduces background noise and speckles of beamformer up to approximately -27dB while preserving the detection capability of reflective points.…”
Get full text

Quantitative ultrasound rating of liver fibrosis in children with cystic fibrosis by G. M. Dvoryakovskaya, O. I. Simonova, S. A. Ivleva, I. V. Dvoryakovsky, A. N. Surkov, M. O. Gorbunova, I. E. Smirnov

“…ASQ in CF patients can be applied for early detection of fibrosis, follow-up of process development and rating of hepatoprotective treatment efficacy.…”
Get full text

Developing a quality and safety surveillance system: A protocol for a realist review and synthesis of the literature. by Busra Ertugrul, Jaspreet Kaur Dullat, Therese McDonnell, Marcella O'Dowd, Eilish McAuliffe

“…<h4>Background</h4>Patient harm as a result of unsafe care remains a growing global health concern, and traditional efforts prioritising tracking errors and voluntary reporting to detect adverse events result in very low error detection rates. …”
Get full text

Intestinal parasitosis in asylum seekers from Middle East and South Asia by Relić Tijana, Kačarević Hranislav, Ilić Nevenka, Jovanović Dara, Tambur Zoran, Doder Radoje, Lazarević Ivana

“…All parasitosis were found in males and the most frequently detected parasite was Giardia lamblia.…”
Get full text

Quantum chimp-enanced SqueezeNet for precise diabetic retinopathy classification by Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, Yousef A. Alduraywish, Alishba Tahir, Haixia Long

“…Abstract Diabetic retinopathy remains a prominent cause of blindness throughout the world, and it is a product of prolonged high blood sugar levels that degrade the retinal blood vessels. This makes early detection of DR critical to stop irreversible blindness from occurring. …”
Get full text

Flexible calorimetric differential pressure sensor array integrated with a superhydrophobic surface for flight parameter estimation by Xin Ke, Yu Gao, Zheng Gong, Yunfan Li, Zihao Dong, Bowei Wan, Yurun Guo, Yonggang Jiang

“…The proposed differential pressure sensor array reaches a detection limit of 36.5 mPa over a range of 500 Pa and shows high repeatability when attached to varying curved surfaces. …”
Get full text

Honeyword Generation Using a Proposed Discrete Salp Swarm Algorithm by Yasser A. Yasser, Ahmed T. Sadiq, Wasim AlHamdani

“…The honeyword system is an effective password cracking detection system designed to easily detect password cracking in order to improve the security of hashed passwords. …”
Get full text

Unmanned Aerial Vehicle Path Planning in Complex Dynamic Environments Based on Deep Reinforcement Learning by Jiandong Liu, Wei Luo, Guoqing Zhang, Ruihao Li

“…These tests highlight fast learning convergence and real-time obstacle detection and avoidance, ensuring successful achievement of the target.…”
Get full text

Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology by Maurizio Agelli, Nicola Corona, Fabio Maggio, Paolo Vincenzo Moi

“…ICT can facilitate this process using autonomous Unmanned Ground Vehicles (UGVs) to navigate crops, detect issues, georeference them, and report to human experts in real time. …”
Get full text

Development of a method for the quantitative determination of glibenclamide in tablets by L. H. Leleka, S. O. Vasuik

“…The absorption maximum was at 489–491 nm. The value of the detection limit is 10.9 μg/ml, which indicates sufficient sensitivity of the reaction. …”
Get full text

Experimental statistical analysis of radar signals reflected from weather hazards by E. S. Boyarenko, E. A. Bolelov, O. V. Vasiliev, S. S. Korotkov

“…The further development of the method to process meteorological information is also of paramount importance to more correctly interpretate experimental data processing results of remote meteorological phenomena sensing.…”
Get full text

Harnessing Federated Learning for Digital Forensics in IoT: A Survey and Introduction to the IoT-LF Framework by Hania Mohamed, Nickolaos Koroniotis, Nour Moustafa, Francesco Schiliro, Albert Y. Zomaya

“…In addition, FL cycles are employed to automate the examination and analysis of these data during the investigation process. The feasibility and functionality of this framework are validated by a Proof of Concept, achieving a detection accuracy of approximately 81.69%, when trained on the TON-IoT dataset. …”
Get full text

An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…A multi-objective optimization model was subsequently established with the objective functions of minimizing node cost and maximizing spatial detection area. Second, a method based on the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm was introduced to obtain the sub-optimal solution of node cost, thereby reducing the computational complexity of the optimization process. …”
Get full text

Inverse imaging with elastic waves driven by unsupervised machine learning by Liyou Luo, Yaxi Shen, Jiawei Xi, Yabin Jin, Daniel Torrent, Jensen Li

Get full text