Determination of reference intervals for common liver function tests among healthy adults by Abdul Baset Abbas, Ashraf Yahya, Zakaria Aloqab, Ahmed AlHudhaifi, Adhwaa Abdu Alateef, Amaturahman Morshed, Azal Qasem, Mohammed Al-Awlaqi, Shahira Alshahari, Nosiba Mohammed, Kholah Mohammed

“…Abstract Reference intervals (RIs) are significant means for health evaluation, prognosis, diagnosis, and monitoring of adverse events. …”
Get full text

An intelligible AI-driven decision support system for poststroke mobility assessment by Jin Cheng Liaw, Dominik Raab, Malte Weber, Mario Siebler, Harald Hefter, Dörte Zietz, Marcus Jäger, Andrés Kecskeméthy, Francisco Geu Flores

“…Synergistic interactions between system, and experts via the computed key features may improve quality in diagnosis and objectify therapeutic targets. …”
Get full text

Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data by Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong, Kumaran Kadirgama, Foo Benedict, Tan Jian Ding, Kharudin Ali, Azher M. Abed

“…Overall, the proposed method not only addresses issues of imbalanced data but also reduces computational complexity via streamlined local preprocessing, and server-side mechanisms ensure client privacy. …”
Get full text

Time series analysis of ex-vivo ischemia-reperfused heart using Q-space imaging by Genki Ichihara, Junichi Hata, Daisuke Nakashima, Kyohei Daigo, Kazuhisa Sugai, Yuji Iwasawa, Motoaki Sano, Masaya Nakamura, Hideyuki Okano, Kazuki Sato, Yoshinori Katsumata

“…Abstract In the evaluation of myocardial infarction, cardiac MRI remains problematic in terms of sensitivity and quantitativeness. …”
Get full text

Venous gas in the intrahepatic portal in an obstetric patient with preeclampsia: a case report by Carlos Mendiola-Villalobos, María del Carmen García-Pantoja, Ignacio Rodríguez-Guevara, Marian Elizabeth Phinder-Puente, Nora Noemí Hernández Velázquez, Orlando R. Pérez-Nieto, Ernesto Deloya-Tomas, Raúl González-Toribio, Christian Alberto Herrera Venegas

“…These findings were confirmed through diagnostic imaging, including a computed tomography scan, which showed intrahepatic gas and air within the gastric wall. …”
Get full text

Etiologies and Treatment Outcomes of Chronic Cough Diagnosed with a Pathophysiological Diagnostic Procedure: A Single-center Retrospective Observational Cohort Study by Johsuke Hara, Masaki Fujimura, Masahide Yasui, Reiko Takeda, Noriyuki Ohkura, Seiji Yano

“…CONCLUSION: Pathophysiological evaluation may facilitate prompt and objective diagnosis of the etiologies of CC. …”
Get full text

Use of an anatomical atlas in real-time EIT reconstructions of ventilation and pulsatile perfusion in preterm infants by Christopher J. Rocheleau, Trevor D. Overton, Nilton Barbosa da Rosa, Gary J. Saulnier, Omid Rajabi Shishvan, Christopher D. Baker, Katelyn G. Enzer, Jennifer L. Mueller

“…Abstract Electrical impedance tomography (EIT) is a bedside imaging technique in which voltage data arising from current applied on electrodes is used to compute images of admittivity in real time. Due to the severe ill-posedness of the inverse problem, good spatial resolution poses a challenge in EIT. …”
Get full text

Benchmarking Sentence Encoders in Associating Indicators With Sustainable Development Goals and Targets by Ana Gjorgjevikj, Kostadin Mishev, Dimitar Trajanov, Ljupco Kocarev

Get full text

Advancements in Microwave Bone Imaging: Tomographic Reconstruction of an Anthropomorphic Calcaneus Phantom Using a Specialized Imaging Prototype for Bone Health Applications by Alessia Cannata, Adnan Elahi, Martin O'Halloran, Marco Pasian, Simona Di Meo, Giulia Matrone, Bilal Amin

Get full text

Novel Quanvolutional Neural Network-Based COVID-19 Diagnosis From Raman Spectroscopic Signals of Human Serum by Shivanya Shomir Dutta, Sahil Sandeep, S. Sridevi, Rajiv Mistry, Jonathan Ortega, Gorkem Kar

Get full text

Integrated design and YOLO based control framework for autonomous EV charging robot platforms by V.C. Mahaadevan, Narayanamoorthi R, ShanmugamPillai Pushparaj Logeshwer, Harshit Jain, Sayantan Panda, Petr Moldrik, Tomas Novak, Radomir Gono

Get full text

Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

Get full text

A Comprehensive CNN Model for Age-Related Macular Degeneration Classification Using OCT: Integrating Inception Modules, SE Blocks, and ConvMixer by Elif Yusufoğlu, Hüseyin Fırat, Hüseyin Üzen, Salih Taha Alperen Özçelik, İpek Balıkçı Çiçek, Abdulkadir Şengür, Orhan Atila, Numan Halit Guldemir

“…Its effectiveness was evaluated on two datasets: a private dataset with 2316 images and the public Noor dataset. …”
Get full text

The unresolved struggle of 16S rRNA amplicon sequencing: a benchmarking analysis of clustering and denoising methods by Mohamed Fares, Engy K. Tharwat, Ilse Cleenwerck, Pieter Monsieurs, Rob Van Houdt, Peter Vandamme, Mohamed El-Hadidi, Mohamed Mysara

Get full text

Sustainable energy: Advancing wind power forecasting with grey wolf optimization and GRU models by Zainab Al-Ibraheemi, Samaher Al-Janabi

“…In terms of prediction performance, the GRU model was evaluated on three datasets: the original, MEF, and BDG-GWO datasets. …”
Get full text

A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases by Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim

“…While deep learning models have been instrumental in detecting plant leaf diseases, they often involve complex models and significant computational demands to achieve optimal performance. …”
Get full text

Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approach... by Tathagat Banerjee, Prachi Chhabra, Manoj Kumar, Abhay Kumar, Kumar Abhishek, Mohd. Asif Shah

Get full text

Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

Get full text

VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

“…Rigorous empirical comparison and evaluation with state-of-the-art models for each class of disease is done to validate proposed technique. …”
Get full text

A Method for Auto Generating a Remote Sensing Building Detection Sample Dataset Based on OpenStreetMap and Bing Maps by Jiawei Gu, Chen Ji, Houlin Chen, Xiangtian Zheng, Liangbao Jiao, Liang Cheng

Get full text