Positioning method for roadheaders based on fusion of LiDAR and inertial navigation by LIU Jing, WEI Zhiqiang, CAI Chunmeng, LIU Yang

“…To improve the positioning accuracy of the roadheaders in these harsh conditions, a new positioning method based on the fusion of LiDAR and inertial navigation using error state kalman filter (ESKF) was developed. First, the center of the spherical target suspended from the tunnel roof was defined as the origin of the tunnel coordinate system. …”
Get full text

Well Performance from Numerical Methods to Machine Learning Approach: Applications in Multiple Fractured Shale Reservoirs by Kailei Liu, Boyue Xu, Changjea Kim, Jing Fu

“…A bunch of factors is contained such as hydraulic fracture parameters, well completion, and production data. Then, feature selection is performed to determine the key factors. …”
Get full text

Dashboard‑Driven Machine Learning Analytics and Conceptual LLM Simulations for IIoT Education in Smart Steel Manufacturing by Mehdi Imani, Ali Imanifard, Babak Majidi, Abdolah Shamisa

“…To mitigate the shortage of authentic industrial datasets for research, we developed an industry-validated IIoT educational dataset drawn from three months of operational records at a steel plant and enriched with domain-specific annotations—most notably distinct operational phases. …”
Get full text

Linking sensory processing challenges to autism-related factors: observational evidence from Pakistan by Sana Khawer, Mohammad Ismail, Sitwat Zehra

“…Abstract Background Sensory processing dysfunction (SPD) is a salient feature of autism spectrum disorder (ASD) that has garnered substantial clinical and research attention. …”
Get full text

Strategic control of excess tellurium to achieve high figure-of-merit in Te-rich Bi0.5Sb1.5Te3 by Ranu Bhatt, Rishikesh Kumar, Pramod Bhatt, Pankaj Patro, Shovit Bhattacharya, Mani Navaneethan, Soumen Samanta, Ajay Singh

“…The COMSOL simulations predict a maximum conversion efficiency (η max ) of ~ 15%, at a temperature gradient (∆T) of 270 K, for a single-leg thermoelectric generator (TEG) developed using this material.…”
Get full text

Combination of Graph and Convolutional Networks for Brain Tumor Segmentation from Multi-Modal MR Images In Clinical Applications by Marjan Vatanpour, Javad Haddadnia, Shahryar Salmani Bajestani

“…After retrieving the feature representation of the CNN, a graph model is created and fed to the GNN. …”
Get full text

Teaching English as a foreign language in accordance with Social-constructivist pedagogy / Enseñar inglés como lengua extranjera en consonancia con la pedagogía socio-constructiv... by Luis S. Villacañas de Castro

“…After this obstacle is identified and some potential solutions are discarded, the article resorts to some of the didactic advances developed in the field of English as a second language (ESL) teaching during the last two decades, since the latter has remained more attentive to the conflictive nature of social interactions than any other area in English Learning (EL). …”
Get full text

Detectron2-enhanced mask R-CNN for precise instance segmentation of rice blast disease in Tanzania: Supporting timely intervention and data-driven severity assessment by Reuben Alfred, Judith Leo, Shubi F. Kaijage

“…Built on a ResNet-50 backbone with a Feature Pyramid Network (FPN), it achieved a mean average precision (mAP) of 89.4 %, with an AP50 of 94.6 % and an AP75 of 90.5 %. …”
Get full text

Parameter regionalization of large-scale distributed rainfall–runoff models using a conditional probability method by Takahiro Sayama, Masafumi Yamada, Ayato Yamakita, Yoshito Sugawara

“…To address this challenge, we propose a parameter regionalization method based on conditional probability. The key feature of this method is that the calibration phase calculation assumes spatially uniform parameter sets within the calibrating basins, significantly reducing computational costs. …”
Get full text

Pressure-driven polymeric membrane performance prediction, new membrane dimensionless number, and considerations for effective membrane design, selection, testing, and operation by Alexander R. Anim-Mensah, Alexander R. Anim-Mensah

“…It also considers membrane swelling (Ls) and compaction (Lc) with the associated Poisson ratio (γ), providing a comprehensive framework for predicting membrane performance. A key feature is the dimensionless parameter β, defined as ln (Ls/Lc), which describes different operational regimes (β < 1, β = 1, β > 1). …”
Get full text

Deciphering hypoxia’s role in hepatocellular carcinoma prognosis with single-cell approaches by Jun Liang, Di Chen, Huiyu Liang

“…To probe the effects of hypoxia on HCC invasion, we developed the Cell Hypoxia-Related Prognostic Feature (CHPF). …”
Get full text

Real-Time Polarimetric Imaging and Enhanced Deep Learning Model for Automated Defect Detection of Specular Additive Manufacturing Surfaces by Dingkang Li, Xing Peng, Hongbing Cao, Yuanpeng Xie, Shiqing Li, Xiang Sun, Xinjie Zhao

“…Finally, a polarization technology-based visual monitoring system is developed to acquire defect images of laser AM workpieces, establishing the model’s training sample database. …”
Get full text

AUTOMATIC SCORING OF KNOWLEDGE GAINED AND SHARED THROUGH DISCUSSION FORUMS: BASED ON THE COMMUNITY OF INQUIRY MODEL by P.A.L. Nadeesha, T.A. Weerasinghe, W.R.N.S Abeyweera

“…The methodology integrated Random Forest (RF) classification with TF-IDF feature extraction and Support Vector Machine (SVM) classification with Word2Vec embedding. …”
Get full text

Global road extraction using a pseudo-label guided framework: from benchmark dataset to cross-region semi-supervised learning by Xiaoyan Lu, Yanfei Zhong, Zhuo Zheng, JunJue Wang, Dingyuan Chen, Yu Su

“…To enhance the quality of the pseudo-labels, strong data augmentation perturbation and auxiliary feature perturbation techniques are employed to ensure model prediction consistency. …”
Get full text

Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning by Amin Abdollahi Dehkordi, Mehdi Neshat, Alireza Khosravian, Menasha Thilakaratne, Ali Safaa Sadiq, Seyedali Mirjalili

“…Abstract Deep convolutional neural networks (CNNs) have seen significant growth in medical image classification applications due to their ability to automate feature extraction, leverage hierarchical learning, and deliver high classification accuracy. …”
Get full text

Determination of Ethanol Content in Fuels with Phononic Crystal Sensor by N. V. Mukhin, A. Oseev, M. M. Kutia, E. S. Borodacheva, P. G. Korolev

“…In-line analysis of ethanol content in gasoline blends is currently one of the urgent needs of fuel industry. Developing safe and secure approaches is critical for real applications. …”
Get full text

Fire return intervals and recruitment affect population growth rate of canopy trees in tall open forest in humid savanna by Patricia A. Werner, Stephanie J. Peacock

“…Abstract Savannas are the major biome in tropical regions of the globe, defined as sparsely wooded regions with a continuous herbaceous layer of mainly C4 grasses where rainfall is distinctly seasonal. Fire is a common feature of most savannas. The largest protected areas of savannas are found in sparsely populated monsoonal northcentral Australia with strong annual wet and dry seasons. …”
Get full text

Melt Density Monitoring of Extruder Extrusion Process Based on Multi-source Data Fusion and Convolutional Long Short-term Memory Neural Network by Binbin ZHANG, Zhuyun CHEN, Fei ZHANG, Gang JIN

“…Using an independently developed multi-source sensory data acquisition device, three distinct sensor modalities, near-infrared, Raman, and ultrasound, are strategically positioned at the die head of the extruder to provide real-time data streams. …”
Get full text

Simulation of lead free heterojunction n-FASnI3/p-FrGeCl3 based Perovskite solar cell with ZnMgO as Electron transport layer and GO as Hole transport layer using SCAPS-1D by Dhivya Bharathi C, P. Sriramalakshmi

“…The modeling work focuses on heterojunction solar cell featuring dual absorber (n-FASnI3/p-FrGeCl3) layers to enhance the power conversion efficiency (PCE) of charge carrier separation and charge transport. …”
Get full text

Compressing Neural Networks on Limited Computing Resources by Seunghyun Lee, Dongjun Lee, Minju Hyun, Heeje Kim, Byung Cheol Song

“…However, the cost of achieving higher benchmark performance through compression is continuously increasing, making network compression a significant burden—especially for small industries focused on developing compact models. Specifically, existing network compression techniques often require extensive computational resources, rendering them impractical for edge devices and small-scale applications. …”
Get full text