Iterative Analysis of Nonlinear BBM Equations under Nonsingular Fractional Order Derivative by Gauhar Ali, Israr Ahmad, Kamal Shah, Thabet Abdeljawad

“…Graphical presentations are given for various fractional orders. Also, the concerned method is also compared with some variational-type perturbation method to demonstrate the efficiency of the proposed method.…”
Get full text

Enhancing Anomaly Detection Through Latent Space Manipulation in Autoencoders: A Comparative Analysis by Tomasz Walczyna, Damian Jankowski, Zbigniew Piotrowski

“…A comparative analysis of autoencoders, Variational Autoencoders, and their modified counterparts was conducted within a tailored experimental environment designed to simulate real-world scenarios. …”
Get full text

Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand by Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

“…Finally, simulations of a modified 6‐bus system and modified IEEE 57‐bus system validate the effectiveness of the proposed GLP‐AARO method for power system flexibility quantification and dispatch strategy optimization.…”
Get full text

Exact Nonlinear Spectral Analysis of Nonsmooth WENO-JS Solutions by Tamer H. M. A. Kasem

“…The NSM explains the behaviour of nonsmooth solutions because it is valid for arbitrary modified wave numbers (MWN). The NSM clarifies the effects of the time integration methods and the Courant number. …”
Get full text

Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks by Mohamed Fathallah, Sherif Eletriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok

“…This paper presents a novel framework for 3D face reconstruction from single 2D images and addresses critical limitations in existing methods. Our approach integrates modified adversarial neural networks with graph neural networks to achieve state-of-the-art performance. …”
Get full text

Enhancing Microgrid Protection Through Adaptive Decentralized Relay Coordination: A Solution to Blinding and Sympathetic Tripping by Sujatha Balasubramanian, J. Preetha Roselyn, Prabha Sundaravadivel

“…Integrating Distributed Energy Resources into microgrids modifies the network’s system parameters and causes it to exhibit behaviour, particularly during fault conditions. …”
Get full text

Walking in two worlds: insights from implementing a Tr’ondëk Hwëch’in approach to bridging knowledge systems in conservation and land use planning by Chrystal Mantyka-Pringle, Jody Beaumont, Chris Clarke, Natasha Ayoub, Piia Kortsalo, Stephanie Saal, Katie Fraser, Kiri Staples, Tr’ondëk Hwëch’in

“…We also explore how the conservation prioritization method and software, Zonation, can be modified with Indigenous cultural values and subsistence use areas. …”
Get full text

A Multi-Source Circular Geodesic Voting Model for Image Segmentation by Shuwang Zhou, Minglei Shu, Chong Di

“…While convolutional neural networks (CNNs) have achieved notable success by learning representative features from large datasets, they often lack geometric priors and global object information, limiting their accuracy in complex scenarios. Variational methods like active contours provide geometric priors and theoretical interpretability but require manual initialization and are sensitive to hyper-parameters. …”
Get full text

Standardization of Lung CT Number Using COPD Gene2 Phantom Under Various Scanning Protocols by Hoondong Song, Hanjoo Jang, Jongduk Baek

Get full text

Magnetic soliton-based LIF neurons for spiking neural networks (SNNs) in multilayer spintronic devices by Kishan K. Mishra

“…Our proposed neuron model, implemented in fully connected and convolutional layers, achieves over 95% classification accuracy on the MNIST and Fashion MNIST datasets using a modified spike-based backpropagation method. With nanosecond latency, these spiking neuron devices, when integrated with CMOS, pave the way for high-density, energy-efficient neuromorphic computing hardware.…”
Get full text

Evaluation of Strength Model Under Deep Formations with High Temperature and High Pressure by Fei Gao, Yan Zhang, Yuelong Liu, Hui Zhang

“…The implementation of this optimized model in Well X’s borehole stability analysis yielded 89% alignment between predictions and field observations, with principal stress variations remaining within 7% of critical failure thresholds. …”
Get full text

The Orthotropy Effect of Underground Inclusion on the Seismic Response of Ground Surface by S. Mojtabazadeh-Hasanlouei, M. Panji, M. Kamalian

“…To account for material damping, the Barkan approach is employed to attenuate the half-space by introducing a constant logarithmic reduction into the modified boundary integral equation. This method is easily implemented in a time-domain computer code for analyzing seismic homogeneous orthotropic mediums. …”
Get full text

A microchip for exosome isolation that can be impregnated with imatinib simultaneously: an in vitro analysis by Amir Monfaredan, Fakher Rahim, Gholamreza Tavoosidana, Mohammad Hossein Modarressi, Alaviyehsadat Hosseininasab, Ali-Akbar Aghajani-Afrouzi, Mahdi Shafiee Sabet, Elahe Motevaseli

“…Background and Aims — Exosomes, which are tiny double-layered membranes originating from eukaryotic cells, have been recognized as a valuable natural vehicle for delivering substances because of their optimal size, compatibility with living organisms, strong structure, ability to carry a large amount of cargo, and capacity to be modified on their surface. Methods — Various strategies have been employed to isolate exosomes due to the challenges associated with maintaining their high purity. …”
Get full text

A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

“…Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised context. …”
Get full text

Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…For this purpose, a novel hybrid approach combined with multiscale dominant ingredient chaotic analysis, kernel extreme learning machine (KELM), and adaptive mutation grey wolf optimizer (AMGWO) is proposed. Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
Get full text

Optimal Active-Reactive Power Dispatch for Distribution Network With Carbon Trading Based on Improved Multi-Objective Equilibrium Optimizer Algorithm by Furong Tu, Sumei Zheng, Kuncan Chen

“…In distribution networks with a high proportion of renewable energy, the optimal active-reactive power dispatch problem (OARPD) is increasingly complex due to the volatility and randomness of wind and solar output, as well as variations in grid load. This paper proposes a new low-carbon scheduling model that incorporates a tiered carbon emission trading (CET) mechanism, minimizes operating costs, and reduces voltage deviations. …”
Get full text

Frequency regulation of PV-reheat thermal power system via a novel hybrid educational competition optimizer with pattern search and cascaded PDN-PI controller by Serdar Ekinci, Davut Izci, Ozay Can, Mohit Bajaj, Vojtech Blazek

“…The hECO-PS tuned PDN-PI controller achieved a minimum integral of time-weighted absolute error (ITAE) value of 0.4464, outperforming conventional methods like the modified whale optimization algorithm and sea horse algorithm, which yielded ITAE values of 2.6198 and 0.8598, respectively. …”
Get full text

COMPARATIVE CHARACTERISTICS OF THE EFFECTIVENESS OF DIRECT AND INDIRECT RESTORATIONS ON TEETH WITH DISCOLORATION by I.V. Zhyvotovskyi, Yu.I. Sylenko, M.V. Khrebor

“…The obtained results were processed by the method of variational statistics using Student's test. …”
Get full text

Molecular breeding of pigs in the genome editing era by Jiahuan Chen, Jiaqi Wang, Haoran Zhao, Xiao Tan, Shihan Yan, Huanyu Zhang, Tiefeng Wang, Xiaochun Tang

“…However, these methods face challenges due to long breeding cycles and the necessity for beneficial genetic variation associated with high-quality traits within the population. …”
Get full text

Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica by Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti Khatri, Amit Laddi, Manojkumar Jaiswal, Vinay Kumar

“…Moreover, existing semi-supervised learning (SSL) methods face key limitations such as shift invariance, inadequate feature representation, overfitting on small datasets, and a lack of generalization to unseen variations in ST morphology. …”
Get full text