Academic Articles & Research Papers

Application of Electric Field to Developing Falling Films using Wire-Plate Electrode Configuration- An Experimental Study

Experimental investigation of Electrohydrodynamic developing falling film flow of transformer oil has been conducted within an inclined rectangular channel and hydrodynamic characteristics of the flow have been revealed. The electric field ...

BanglaHateCorpus: A large-scale bangla benchmark for hate speech classification and a transformer-based deep learning method.

A transformer-based deep learning model for predicting the use of atherectomy devices during PCI from preprocedural cardiac computed tomography angiography.

Classification of Surface Deformation Using DTW-Transformer Model in Lower Jinsha River Basin.

A domain knowledge-enhanced lightweight transformer for automatic identification of land-use conflicts in territorial spatial planning texts.

Volume Segmentation of Liver and Liver Tumor with Fusion of Multi-Branch Features

The overcomplete convolutional structure for biological images and volume segmentation is an excellent solution to the problem in which traditional codec methods cannot accurately segment the boundary regions. Although such methods perform ...

A Systematic Review of Deep Learning Approaches for Information Disorder Detection on Social Media: The Context of Misinformation, Disinformation, and Mal-information

Social media platforms have become powerful tools for communication, information exchange, networking, and community building. However, their widespread use has facilitated the proliferation of misinformation, disinformation, and mal-inform...

Industrial Design

There is a multiplicity of facets, specialisations and skills required to design the matching spectrum of products that are produced. These products range from those where appearance or consumer appeal have high priority, for example in cer...

Improved object detection method for autonomous driving based on DETR

Object detection is a critical component in the development of autonomous driving technology and has demonstrated significant growth potential. To address the limitations of current techniques, this paper presents an improved object detecti...

MFEFNet: An Efficient Network for Infrared Small Target Detection With Multiview Feature Extraction and Multiscale Attention Fusion

Infrared small target detection (IRSTD) remains a core challenge in remote sensing, mainly due to low signal-to-noise ratios, small target sizes, background interference, and large-scale variations. Although existing methods have achieved p...

Influence of strain measurement methods on crack initiation and crack damage thresholds of shale

Abstract The crack initiation stress (σ ci) and crack damage stress (σ cd) are two important stress thresholds for describing the progressive failure process of rocks. Accurately obtaining these two stress thresholds is crucial for analyzin...

An enhanced model predictive control method for single-stage three-phase transformerless grid-connected photovoltaic inverter

The single-stage transformerless photovoltaic (PV) topology is an attractive configuration as it offers high efficiency, low installation cost and smaller size. For such a configuration, the control algorithm should be designed to track the...

Application of the convolutional neural network in partial discharge spectrum recognition of power apparatus

Abstract Partial discharge (PD) detection is used to evaluate the insulation status of high‐voltage equipment. The most challenging aspect of traditional PD recognition is extracting features from the discharge signal. Accordingly, this stu...

Wireless Link-Quality Estimation in Smart Grid Environments

Recently, wireless sensor networks (WSNs) have gained great attention from the research community for various smart grid applications, including advanced metering infrastructure (AMI), power outage detection, distribution automation, towers...

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

Deep learning prediction of pathological complete response in breast cancer using Mamba architecture

Abstract Deep learning is capable of efficiently predicting the therapeutic efficacy of neoadjuvant chemotherapy (NAC) in breast cancer. However, current methods predominantly rely on convolutional neural networks or transformer architectur...

Fusing content and social relationships: a multi-modal heterogeneous graph transformer approach for social bot detection

Abstract Social bots pose a significant threat to online platforms, demanding robust methods to detect their increasingly complex behaviors. This paper introduces MM-HGT-Bot, a multi-modal framework that advances the field by operationalizi...

Antenna array based on open ring radiators

Relevance. The creation of antenna arrays for communication systems is an urgent task in the unmanned aviation industries, in particular, for video signal transmission systems. Also, the relevance of the work is due to the need to use direc...

RadarDiT: An advanced radar echo extrapolation model for three gorges reservoir area via diffusion transformer

Study region: The Three Gorges Reservoir Area (TGRA) Study focus: TGRA faces increasing vulnerability to extreme precipitation events driven by complex convective weather systems. Radar echo extrapolation—predicting future precipitation pat...

A novel chaotic flower pollination algorithm for function optimization and constrained optimal power flow considering renewable energy sources

This study presents an improved chaotic flower pollination algorithm (CFPA) with a view to handle the optimal power flow (OPF) problem integrating a hybrid wind and solar power and generate the optimal settings of generator power, bus volta...