Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
Get full text

A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…By testing simulated SECM samples, the method demonstrated a substantial reduction in the false-negative rate even with up to 75% cumulus cell contamination. …”
Get full text

MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
Get full text

GT-SRR: A Structured Method for Social Relation Recognition with GGNN-Based Transformer by Dejiao Huang, Menglei Xia, Ruyi Chang, Xiaohan Kong, Shuai Guo

“…In order to overcome these restrictions, this essay suggests a SRR model that integrates Gated Graph Neural Network (GGNN) and Transformer. …”
Get full text

Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
Get full text

Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
Get full text

Mitigating side channel attacks on FPGA through deep learning and dynamic partial reconfiguration by Sesibhushana Rao Bommana, Sreehari Veeramachaneni, Syed Ershad, MB Srinivas

“…Abstract This paper introduces a framework that combines Deep Learning (DL) models and Dynamic Partial Reconfiguration (DPR) in Field Programmable Gate Arrays (FPGA) to mitigate Side Channel Attacks (SCA). …”
Get full text

Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The method applied a hybrid model combining a Convolutional Neural Network (CNN), Bidirectional Gated Recurrent Unit (BiGRU), and an Attention Mechanism (AM) to address the nonlinear, volatile, and noisy characteristics of stock data. …”
Get full text

A multicellular self-organized probiotic platform for oral delivery enhances intestinal colonization by Hua Liu, Zhijie Chen, Qiaowen Lin, Yi Chen, Liwen Hong, Jie Zhong, Zhengwei Cai, Zhengting Wang, Wenguo Cui

“…In vivo, the EMS strategy exhibits 89- and 52-fold higher colonization rate in the cecum and colon of mice, compared to conventional oral probiotics. …”
Get full text

Influence of Host Species, Location, and Aphid Prey on Microbial Diversity and Community Dynamics of Aphidophagous Ladybird Beetles in Guangxi, China by Mei‐Lan Chen, Yu‐Hao Huang, Li‐Qun Cai, Xiang‐Miao Qin, Xin‐Yi Meng, Hao‐Sen Li, Hong Pang

“…Our findings provide insights into the microbial communities of ladybirds and aphids in sympatric and distinct field environments, highlighting the plasticity of microbial abundance in aphidophagous ladybirds across different ladybird species and locations, as well as the low retention rate of specific aphid symbionts in ladybird predators.…”
Get full text

Performance Assessment of Maximum Likelihood, Random Forest and Support Vector Machines Classifier for Urban Land Use Classification: A Case Study of Dhaka Metropolitan City, Bangl... by Ha-mim Ebne Alam, Md. Nizam Uddin, Kazi Tawkir Ahmed, Md. Jahidul Hasan, Md. Yeasir Arafat, Md. Enamul Hoque

“…The classification was conducted by using three methods where the Support vector machines classification (SVMC) produced the best accuracy results of 83.2% overall accuracy and overall kappa coefficient value of 0.74 than both random forest classification (RFC) and maximum likelihood classification (MLC) methods with 86.34% and 83% spatial similarity rate respectively. Besides, RFC and MLC are roughly equivalent in kappa and overall accuracy values, though MLC revealed less capability at classifying vegetation. …”
Get full text

Theoretical Examination of the Volume Concentration and Nanoparticles Density Influence on the Convective Heat Transfer Enhancement of Nanofluid in 2D Cavity Including the Square H... by Oulahou Y., Elguennouni Y., Hssikou M., Baliti J., Alaoui M.

“…Depending on the nanoparticle volume percentage , the Grashof number , and the hot obstacle have a significant impact on the convection flow and rate of heat transfer. The most important result is the enhancement of heat transfer with the increasing of volume fraction for a particular Grashof number, also it improves with the rising of Grashof number for a particular nanoparticles volume fraction. …”
Get full text

Nonlinearity Mitigation Based on Modulus Pruned Look-Up Table for Multi-Bit Delta-Sigma 32-CAP Modulation in Underwater Visible Light Communication System by Wenqing Niu, Hui Chen, Junwen Zhang, Yinaer Ha, Peng Zou, Nan Chi

“…At the data rate of about 1.69Gbp/s, utilizing MP-WLUT pre-distorted DSM-CAP an improvement of 1.44 dB Q-factor is realized compared with normal CAP without WLUT, and the size of MP-WLUT can be reduced to 62.5% of the full-size WLUT.…”
Get full text

Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…The proposed approach achieved an accuracy of 99.89% and a recall rate of 99.87%, demonstrating its suitability for crop classification with minimal computational overhead. …”
Get full text

Investigation of the prevalence of polycystic ovary syndrome in Hamedan province in 2021 by Fatemeh Asadi, Zahra Mahdavi Fakher, Motahareh Masoomi, Salman Khazaie

“…Menstrual irregularity, infertility rate, mean serum testosterone level, the prevalence of hyperlipidemia, mean LDL, and total serum cholesterol were significantly higher in the PCOS group (P<0.05). …”
Get full text

Urban Growth Dynamics in the New Capital of North Maluku: A Spatiotemporal Perspective on Land Cover Transformation in Sofifi by M. Fadel Aginda, Hayati Sari Hasibuan, Rudy Parluhutan Tambunan, Muhammad Attorik Falensky, Satrio Rifqi Wicaksono

“…To ensure the sustainability of urban growth dynamics in Sofifi, this study aims (1) identify and analyze the spatiotemporal dynamics of land cover transformation from 1995 to 2020 in Sofifi and (2) analyze the growth pattern of urban expansion in Sofifi. This study employed multitemporal Landsat imageries within the 1995 to 2020 period with supervised classification using the CaRT classifier in Google Earth Engine and the NDBI maps to calculate the urban expansion rate and intensity index. …”
Get full text

Experimental investigation and modeling of heat and moisture transfer beneath asphalt pavements under rainfall conditions by Weihang Hua, Long Jin, Miaomiao Bai, Huimei Zhang

“…Sensitivity analysis identified the surface wetting rate coefficient (β) and evaporation attenuation coefficient (γ) as dominant factors (F > 6.0). …”
Get full text

Compound Action Potential of Isolated Spinal Cord: A Biophysical Analysis to Address Activity of Individual Fibers Following Contusion Injury by I. Rad, K. Khodayari, S. Kouhzaei, H. Mobasheri

“…Compound action potential (CAP) of spinal cord represents valuable properties of neural fibers including excitability, rate of myelination and membrane integrity. These properties are measured using amplitude, latency and area under curve of CAPs recorded from spinal cord. …”
Get full text

Population Analysis of Bali Sardinella (Sardinella lemuru, Bleeker 1853) Landed in PPI Kedonganan using Length-Weight Data and Digital Analysis (ImageJ) by Ni Putu Dian Pertiwi, Ida Ayu Purnama Bestari, M. Danie Al Malik, Mark Anthony Phuong

“…Population condition analysis showed that S. lemuru population is in isometric condition (b=3); with indication of declining in the length growth pattern compared with previous research (L∞= 20.75 cm with K= 1.1); the mortality estimation showed that fishing mortality (F=1.27) was lower than natural mortality (M=2.22), with the survival rate higher on smaller size fish. …”
Get full text

GBsim: A Robust GCN-BERT Approach for Cross-Architecture Binary Code Similarity Analysis by Jiang Du, Qiang Wei, Yisen Wang, Xingyu Bai

“…Recent advances in graph neural networks have transformed structural pattern learning in domains ranging from social network analysis to biomolecular modeling. …”
Get full text