Multimodal dataset for sensor fusion in fall detection by Carla Taramasco, Miguel Pineiro, Pablo Ormeño-Arriagada, Diego Robles, David Araya

“…Our research introduces a novel multisensor dataset designed to support the creation and evaluation of advanced multisensor fall detection algorithms. …”
Get full text

Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model by Tingting Hu, Liheng Zhao, Xueling Zhao, Lin He, Xiaoli Zhong, Zhe Yin, Junjie Chen, Yanting Han, Ka Li

“…Abstract Objective The study developed an intelligent online evaluation system for mediolateral episiotomy, which incorporated machine learning algorithms and integrated maternal physiological data collected during delivery. …”
Get full text

All-Digital Timing Recovery for Free Space Optical Communication Signals With a Large Dynamic Range and Low OSNR by Yunfeng Gu, Sheng Cui, Changjian Ke, Keji Zhou, Deming Liu

“…As timing recovery is indispensable for DCRs, the development of a timing recovery algorithm (TRA) capable of processing such FSOC signals is of particular interest in FSOC field. …”
Get full text

Comparison of proposed National Institute of Child Health and Human Development panel recommendations with newborn sepsis risk calculator in term neonates exposed to maternal chori... by Arpit Gupta, Julia Youssef, Nidhi Arora, Emad Ghaly, Alexander Shilkrut

“…The same cohort of newborns was evaluated using SRC and NICHD algorithm to determine whether treatment with antibiotics could have been avoided in some patients. …”
Get full text

Assessing water clarity in the Chesapeake Bay using satellite-derived Secchi disk depth by Seunghyun Son, Nikolay P. Nezlin, Veronica P. Lance

“…A semi-analytical SDD algorithm (hereafter called CB-SDD algorithm) proposed for turbid coastal waters was extensively evaluated in the Chesapeake Bay. …”
Get full text

Two-stage stochastic capacitated Lot-Sizing problem by Lot-Size adaptation approach by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…To quantify the economics of our uncertainty strategy for multi-level lot size the problems, the number of test instances with different parameter settings is evaluated. Computational experiments show that the additional costs of semifinished products, and the lack of storage capacity in the downstream processes reduce the potential for cost savings via multi-volume reform. …”
Get full text

Ranking Assisted Unsupervised Morphological Disambiguation of Turkish by Hayri Volkan Agun, Ozkan Aslan

“…Furthermore, to reduce ambiguity in sentences from different genres with scarce samples, the proposed method is easily adaptable.…”
Get full text

AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development by Petar Radanliev

“…These tools allow for a visual and systematic evaluation of the ethical principles guiding AI development across different jurisdictions. …”
Get full text

Comparative Analysis of Biomechanical Variables in Marker-based and Markerless Motion Capture Systems by D. I. Guseinov

“…Markerless motion capture systems have incomparable advantages over marker-based ones.In particular, significantly reduced time costs for the registration and data processing procedures, since registration is represented by filming a video from different angles, and processing is accompanied by the use of software algorithms for tracking the silhouette of an athlete using a presetted computer avatar. …”
Get full text

Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques by Debendra Muduli, Sourav Parija, Suhani Kumari, Asmaul Hassan, Harendra S. Jangwan, Abu Taha Zamani, Sk. Mohammed Gouse, Banshidhar Majhi, Nikhat Parveen

“…Additionally, we evaluated the performance of these models using different optimization techniques, including Adadelta, SGD, RMSprop, and Adam, to determine the most effective optimization strategy for improving classifica-tion accuracy. …”
Get full text

Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…Abstract High-resolution anorectal manometry (HR-ARM) is the gold standard for anorectal functional disorders’ evaluation, despite being limited by its accessibility and complex data analysis. …”
Get full text

Asynchronous layerwise deep learning with MCMC on low-power devices by Francois M., Gay P., Lebeaud S., Loustau S., Palafox J., Sow F.K., Tirel N.

“…The learning process is tested on two different environments and the electricity consumption is evaluated on several epochs, based on a homemade open source library using standard softwares and performance counters, and compared with a physical power meter. …”
Get full text

Optimizing axial length estimation for intraocular lens power calculation in phacovitrectomy for macula-off retinal detachment by Sukhum Silpa-archa, Chitchanok Samanwongthai, Variya Nganthavee, Korawin Charoensuk

“…The lowest MAE was achieved using the simple algorithm (0.31 ± 0.55 mm), followed by the AL of the fellow eye measured via IOL Master (0.34 ± 0.60 mm), and the advanced algorithm (0.36 ± 0.62 mm). …”
Get full text

A THREE-TERM CONJUGATE GRADIENT METHOD FOR LARGE-SCALE MINIMIZATION IN ARTIFICIAL NEURAL NETWORKS by Umar A Omesa, Muhammad Y. Waziri, Issam A. R. Moghrabi, Sulaiman M. Ibrahim, Gudu E B, Fakai S L, Rabiu Bashir Yunus, Elissa Nadia Madi

“…To evaluate the performance of the new method we considered some standard test problems for unconstrained optimization and applied the proposed method to train different ANNs on some benchmark data sets contained in the NN toolbox. …”
Get full text

A multiscalar Palmer drought severity index by Yi Liu, Ye Zhu, Liliang Ren, Vijay P. Singh, Xiaoli Yang, Fei Yuan

“…Abstract The limitation of the fixed time scale in the Palmer drought severity index (PDSI) family has long been criticized in drought literatures. By modifying the algorithm of duration factors estimation of the self‐calibrating PDSI (SC‐PDSI), this paper proposed a new approach that could extend the time scale in a wide range. …”
Get full text

Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts by Satvik Nayak, Henry Salkever, Ernesto Diaz, Avantika Sinha, Nikhil Deveshwar, Madeline Hess, Matthew Gibbons, Sule Sahin, Abhejit Rajagopal, Peder E. Z. Larson, Renuka Sriram

“…Multiple combinations of the algorithm and training images for different sites were evaluated for inference quality. …”
Get full text

Real-time prediction of the rate of penetration via computational intelligence: a comparative study on complex lithology in Southwest Iran by Mohammad Najafi, Yousef Shiri

“…It is recommended that real-time ROP estimation be repeated in other areas with different hybrid methodologies and ML algorithms. This helps drilling engineers achieve better performance and reduces drilling risk. …”
Get full text

Effect of Structure on Osteogenesis of Bone Scaffold: Simulation Analysis Based on Mechanobiology and Animal Experiment Verification by Jialiang Li, Zhongwei Sun, Xinyu Wei, Qinghua Tan, Xijing He

“…A tissue regeneration algorithm based on mechanical regulation theory was implemented in this study to evaluate the osteogenesis of classical scaffolds (Gyroid, I-WP, and Diamond). …”
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

“…Moreover, acoustic waves impinging from the far-field multitarget are evaluated using the different number of hydrophones of uniform linear array (ULA). …”
Get full text

256‐level honey memristor‐based in‐memory neuromorphic system by Harshvardhan Uppaluru, Zoe Templin, Mohammed Rafeeq Khan, Md Omar Faruque, Feng Zhao, Jinhui Wang

“…Experimental results indicate that the inference accuracy of the 256‐level honey memristor‐based neuromorphic system is greater than 88% without cycle‐to‐cycle variations and 87% with cycle‐to‐cycle variations for different optimization algorithms. The overall performance of optimization algorithms with and without variation is compared in terms of energy and latency, where the momentum algorithm consistently outperforms the rest of the algorithms. …”
Get full text