Artificial Neural Networks as Digital Twins for Whispering Gallery Mode Optical Sensors in Robotics Applications by Amir R. Ali, Mohamed W. A. Ramadan

“…In order to minimize post-processing requirements and maintain system robustness, the study goal is for the ANN to function as a representative predictor of the WGM sensor output. …”
Get full text

An interactive information based DCNN-BiLSTM model with dual attention mechanism for facial expression recognition by Samanthisvaran Jayaraman, Anand Mahendran

“…The proposed model’s performance was compared with benchmarking methods like NGO-BiLSTM, ICNN-BiLSTM and HCNN-LSTM. …”
Get full text

Capacitive Deionization for the Removal of Paraquat Herbicide from Aqueous Solution by Tusekile Alfredy, Joyce Elisadiki, Yusufu Abeid Chande Jande

“…Herein, the study investigated the use of CDI for the removal of paraquat (PQ) herbicide from water by using commercial activated carbon (AC) electrodes. The CDI performance was examined as a function of the initial PQ concentration, applied voltage, flowrate, treatment time, and cycle stability testing in the batch mode approach. …”
Get full text

CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images by Bo Tang, Ao Li, Bin Li, Minghui Wang

“…A novel capsule network named CapSurv is introduced in this paper, with a new loss function named survival loss to make survival analysis with whole slide pathological images. …”
Get full text

High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics by Nauman Ahmed, Huigang Wang, Shanshan Tu, Norah A.M. Alsaif, Muhammad Asif Zahoor Raja, Muhammad Kashif, Ammar Armghan, Yasser S. Abdalla, Wasiq Ali, Farman Ali

“…The measuring parameters like robustness against noise and element quantity, estimation accuracy, computation complexity, various numbers of hydrophones, variability analysis, frequency distribution and cumulative distribution function of root mean square error (RMSE), and resolution ability are applied for analyzing the performance of the proposed model with additive white Gaussian noise (AWGN). …”
Get full text

MAIZE CULTURE - AN INTENSIVE OR EXTENSIVE PRODUCTION SYSTEM IN ROMANIA by Agatha POPESCU

“…The analysis is based on various methods like the chained substitution of factors, and fixed indices, coefficient of correlation and determination, and regression function. …”
Get full text

Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

“…Additionally, to address suboptimal training issues, EBCNN employs a dynamic curriculum learning strategy underpinned by a confidence-aware loss function, Superloss, enabling progressive binarization and enhancing its classification effectiveness. …”
Get full text

Enhancing grid frequency regulation in low inertia modern multi‐area power systems using cascaded non‐integer control approaches with BESS‐based virtual inertia by Tushar Kanti Roy, Amanullah Maung Than Oo

“…Hence, a whale optimization algorithm optimizes control parameters using the integral time absolute error based objective function. Simulation studies on a modified IEEE 10‐generator 39‐bus power system, considering various disturbances like stochastic load‐generation, nonlinear generation behaviours, and time delay, validate the effectiveness of the proposed controller. …”
Get full text

Enhancing IoT Connectivity through Advanced Scheduling at 142 GHz Sub-THz in 5G and Beyond Networks by Mohammed Mahfooudi, Ismail Angri, Mohammed Fattah, Moulhime EL Bekkali, Abdellah Najid

“…To ensure efficient optimization of the existing spectrum resources, the Radio Resource Management (RRM) function, responsible for managing and allocating radio resources like frequency, time, and power to ensure effective optimization of the existing spectrum, through an optimal scheduling algorithm can prioritize resource allocation based on specific requirements for IoT applications, such as latency, reliability, and throughput. …”
Get full text

Differentiating Thick Clouds From Thin Clouds by Using Intensity Inhomogeneity by Yishuo Huang, Bon A Dewitt

“…Intensity inhomogeneity indicates that the pixels in satellite images contain ground-truth information and other information, such as disturbances like clouds. In the proposed approach, intensity inhomogeneity is used to identify thin and thick clouds by assuming that intensity inhomogeneity is distributed as a Gaussian function in an image patch. …”
Get full text

HybridFormer: a convolutional neural network-Transformer architecture for low dose computed tomography image denoising by Shanaz Sharmin Jui, Zhitao Guo, Rending Jiang, Jiale Liu, Bohua Li

“…Traditional techniques like sinogram domain filtration and iterative reconstruction algorithms require inaccessible raw data. …”
Get full text

Innovations and advancements in adhesives for maxillofacial prosthesis in carcinoma rehabilitated patients by N. Gopi Chander, Neha Venkat, A. Noorul Rizwana

“…Maxillofacial prosthetics play a crucial role in the rehabilitation of oral cancer patients, significantly enhancing their quality of life by restoring facial structure and function. The success of these prosthetics is dependent on adhesives, that ensures assured attachment and stability. …”
Get full text

Hierarchical contrastive learning for multi-label text classification by Wei Zhang, Yun Jiang, Yun Fang, Shuai Pan

“…Abstract Multi-label text classification presents a significant challenge within the field of text classification, particularly due to the hierarchical nature of labels, where labels are organized in a tree-like structure that captures parent-child and sibling relationships. …”
Get full text

Design and Optimization of a Fan-Out Wafer-Level Packaging- Based Integrated Passive Device Structure for FMCW Radar Applications by Jiajie Yang, Lixin Xu, Ke Yang

“…This paper presents an integrated passive device (IPD) structure based on fan-out wafer-level packaging (FOWLP) for the front end of frequency-modulated continuous wave (FMCW) radar systems, focusing on enhancing the integration efficiency and performance of large passive components like antennas. …”
Get full text

Quadriceps Activation After Anterior Cruciate Ligament Reconstruction: The Early Bird Gets the Worm! by Ayrton MOIROUX--SAHRAOUI, Florian FORELLI, Jean MAZEAS, Alexandre JM RAMBAUD, Andreas BJERREGAARD, Jérôme RIERA

“…Arthrogenic Muscle Inhibition (AMI) is a phenomenon observed in individuals with joint injury or pathology, characterized by a reflexive inhibition of surrounding musculature, altered neuromuscular control, and compromised functional performance. After anterior cruciate ligament reconstruction (ACLR) one of the most obvious consequences of AMI is the lack of quadriceps activation and strength. …”
Get full text

AI analysis reveals top predictors of first grade success: Insights from multifactorial screening students’ early days of school by Pedro Bem-Haja, Paulo Nossa, Andreia J. Ferreira, Diogo S. Pereira, Carlos F. Silva

“…Early prediction of students' primary school academic performance is crucial for planning timely interventions for those expected to struggle. …”
Get full text

Decoding the shadows: multi-modal identity profiling in darknet markets using latent behavior feature fusion by Xuan Zhang, Pengfei Li, Xin Tong, K. P. Chow, DeYu Yuan, Si Chen, Bo Jin

“…It also demonstrates superior performance compared to large pre-trained models like GPT-4, especially in identifying high-stickiness vendor groups in Darknet markets. …”
Get full text

Advancements in Efficient Underwater Image Restoration Using ETransMapNet for Enhanced Dehazing by C. P. Indumathi, Haya Mesfer Alshahrani, N. A. Natraj, C. H. Sarada Devi

“…Underwater (UW) information is essential for advancing human exploration and utilization of the underwater world, including fields such as UW Paleology, UW Target Detection, UW Object Tracking, UW Surveillance, and related activities. Visual media like movies and images enhance our natural understanding of underwater objectives. …”
Get full text

Virtual reality for older people: effectiveness of a training program for accident prevention by Alina Napetschnig, Wolfgang Deiters, Klara Brixius

“…Virtual reality (VR) applications offer novel opportunities for senior citizens to enhance their functional abilities. Routine activities, like crossing a street, can be simulated and practiced within a virtual environment.ObjectiveThis intervention study investigated the impact of a VR training application (‘Wegfest’) on physical function, fall-related confidence, and cognitive status in senior citizens. …”
Get full text

Effect of a Novel Training Program in Patients With Chronic Shoulder Pain Based on Implicit Motor Learning: Pilot and Feasibility Study. by Annelies Maenhout, Wieger Heijenk, Peter Glashouwer, Lore Quatacker, Luna Praet, Dorien Borms

“…It facilitates automaticity of movements and thereby improves performance in multitasking and high-pressure environments. …”
Get full text