Innovative Expert-Based Tools for Spatiotemporal Shallow Landslides Mapping: Field Validation of the GOGIRA System and Ex-MAD Framework in Western Greece by Michele Licata, Francesco Seitone, Efthimios Karymbalis, Konstantinos Tsanakas, Giandomenico Fubelli

“…GOGIRA is a low-cost system for efficient georeferenced data collection, while ExMAD uses AI and multitemporal Sentinel-2 imagery to detect landslide triggering times. …”
Get full text

Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…There is a critical need for an automated, efficient, and accurate diagnostic method to improve early detection and treatment. …”
Get full text

Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks by Carlos A. Guzmán-Medina, Mario E. Rivero-Angeles, Izlian Y. Orea-Flores

“…WSNs are complex systems that are mainly limited by the battery life of the nodes in order to have an adequate performance. …”
Get full text

SECURE VERTEX-EDGE DOMINATION IN HYPERCUBE AND GRID GRAPHS: APPLICATIONS OF CYBERSECURITY IN BANKING FOR SECURE TRANSACTIONS by C. Ruby Sharmila, S. Meenakshi

“…Moreover, develop a Hidden Markov Model (HMM) framework to enhance the detection of anomalous activities within these graph structures. …”
Get full text

Mechanism of modified mRNA structure in COVID-19 vaccines for inducing neutralizing antibodies by Sabighoh Zanjabila, Beti Ernawati Dewi

“…Structural modifications, such as replacing uridine with 1-methylpseudouridine (1mψ), enhance translation efficiency and help the mRNA evade immune detection. …”
Get full text

Development of Green Method for Trace Determination of Bendiocarb in Real Samples Using Emerson by Baghdad Science Journal

“…The enrichment factor was of 59.87 fold leading to achieve the limit of detection of 0.076 ?g mL-1. The proposed method gives superior sensitivity in terms of the molar absorptivity of 1.99x105 L mol-1 cm-1 and extraction efficiency of 98.0%. …”
Get full text

Urban Air Mobility Communications and Networking: Recent Advances, Techniques, and Challenges by Muhammad Yeasir Arafat, Sungbum Pan

“…Owing to the unique characteristics of personal air vehicles, ensuring reliable communication and maintaining proper safety and security, air traffic management, collision detection, path planning, and highly accurate localization and navigation have become increasingly complex. …”
Get full text

The Application of Earth Observation Data to Desert Locust Risk Management: A Literature Review by Gachie Eliud Baraka, Giudo D’Urso, Oscar Rosario Belfiore

“…Desert locust situation analysis, forecasting and early warning are complex due to the systemic interaction of biological, meteorological, and geographical factors that play different roles in facilitating the survival, breeding and migration of the pest. …”
Get full text

A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification by Shousong Han, Zhiqiang Chao, Xiangbo Liu

“…The riding conditions for a high-speed tracked vehicle are quite complex. To enhance the adaptability of suspension systems to different riding conditions, a semiactive and self-adaptive hybrid control strategy based on disturbance velocity and frequency identification was proposed. …”
Get full text

Privacy-Preserving Data Sharing in Telehealth Services by Ammar Odeh, Eman Abdelfattah, Walid Salameh

“…Telehealth services, while providing immense benefits in terms of accessibility and efficiency, introduce complex challenges in maintaining data privacy and security. …”
Get full text

Experimental Optimization of the Energy Characteristics of a Ground Penetrating Radar with Continuous Linear-Frequency-Modulated Radiation by I. Yu. Malevich, A. S. Lopatchenko

“…The conducted studies will improve the energy characteristics of ground penetrating radars with continuous LFM radiation by increasing the detection efficiency of shallow and near-surface objects.…”
Get full text

Deep neural network modeling for brain tumor classification using magnetic resonance spectroscopic imaging. by Erin B Bjørkeli, Knut Johannessen, Jonn Terje Geitung, Anna Karlberg, Live Eikenes, Morteza Esmaeili

“…Given the significant health risks associated with brain tumors, the necessity for early and accurate detection is crucial for effective treatment. While conventional MRI techniques encounter limitations in the rapid and precise spatial evaluation of diffuse gliomas, both accuracy and efficiency are often compromised. …”
Get full text

Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…Abstract Plant disease identification and detection refer to the process of recognizing and diagnosing diseases that affect plants. …”
Get full text

A Perspective on Software-in-the-Loop and Hardware-in-the-Loop Within Digital Twin Frameworks for Automotive Lighting Systems by George Balan, Philipp Neninger, Enrique Ruiz Zúñiga, Elena Serea, Dorin-Dumitru Lucache, Alexandru Sălceanu

Get full text

Study on the Leakage Diagnosis of a Chilled Water Pipeline Network System Based on Pressure Variation Rate Analysis for Climate Change Mitigation by Xuan Zhou, Fei Liu, Lisheng Luo, Shiman Peng, Junlong Xie

“…Such leakages reduce system lifespan, raise maintenance costs, and degrade operational efficiency. To overcome the limitations of current methods, such as insufficient interpretability and computational complexity in leak localization, this paper proposes a novel leakage diagnosis and localization scheme based on pressure variation rate analysis in closed chilled water pipeline networks. …”
Get full text

Orthogonal-state-based measurement device independent quantum communication: a noise-resilient approach by Chitra Shukla, Abhishek Shukla, Symeon Chatzinotas, Milos Nesladek

“…Ultimately, we discuss system and operational complexity of our proposed protocols in light of experimental elements and the processes.…”
Get full text

Research on the Remanence Measurement Method of Transformers Based on the Degaussing Hysteresis Loop by Dingyuan Li, Jing Zhou, Zhanlong Zhang, Yu Yang, Zijian Dong, Wenhao He, Xichen Pei, Jiatai Gao, Siyang Chen, Zhicheng Pan

“…This method does not require complex control strategies, has high precision and efficiency, and can provide reliable technical support for residual magnetism detection and suppression of off-grid power transformers.…”
Get full text

Development and Perfection of Marine-Based Insecticide Biofilm for Pea Seed Protection: Experimental and Computational Approaches by Fatouma Mohamed Abdoul-Latif, My Ismail El Mhamdi, Ayoub Ainane, Ali Merito Ali, Khadija Oumaskour, Sanaa Cherroud, Stefano Cacciatore, Tarik Ainane

“…Moreover, the computational approach showed that Calothrixin A interacts more efficiently with the OR5-Orco complex than with the small OBP, disrupting the olfactory detection of insects. …”
Get full text

Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
Get full text

Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
Get full text