Experimental and Numerical Investigation on the Influence of the Rate of Injection (Roi) on Engine Performance for B100 Fuel Control Strategy in Diesel Engines by Moïse Ligan Noukpo, Claude Valery Ngayihi Abbe, Joseph Nkongho Anyi, Dieudonné Essola, Cyrille Mezoue, Ruben Mouangue, Robert Nzengwa

Get full text

An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

“…The Retformer model outperforms a variety of benchmark algorithms across different performance metrics by margins of up to 11%.…”
Get full text

Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease by Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith

“…The comparative results prove that the proposed hybrid model scored the highest accuracy of 97.8%, 96.15% sensitivity, and 96.75% specificity and 98.6% ROC_AUC score when compared with the existing techniques and models after applying the SMOTE–ENN (for data balancing) and Chi-square (for feature selection) methods for the efficient detection of cardiovascular disease. …”
Get full text

Towards scalable medical image compression using hybrid model analysis by Shunlei Li, Jiajie Lu, Yingbai Hu, Leonardo S. Mattos, Zheng Li

“…The performance of SDWTCNN is evaluated using different performance metrics, demonstrating its effectiveness in maintaining image quality at various compression rates. …”
Get full text

Comparison of CatBoost and LightGBM Models for Air Humidity Prediction by Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza

“…This study uses historical weather data from the Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) to evaluate the performance of two combination machine learning models, LightGBM and CatBoost, in predicting air humidity. …”
Get full text

IMP‐DETR: Optimization model for defect detection of injection‐moulded products by Anzhan Liu, Lei Han

“…The model constructs a feature extraction backbone network with the inverted residual mobile block module to extract key information and reduce interference from irrelevant backgrounds while maintaining lightweight. …”
Get full text

Depth prediction of urban waterlogging based on BiTCN-GRU modeling. by Quan Wang, Mingjie Tang, Pei Shi

“…This model integrates Bidirectional Temporal Convolutional Networks (BiTCN) and Gated Recurrent Units (GRU) to enhance prediction performance. …”
Get full text

Evaluation of Effectiveness of Arima Model Predictions in Investment Portfolio Formation and Management by Brolinska Iryna, Žilinskij Grigorij

“…Many choose to take advantage of a wide variety of forecasting models in order to enhance investment portfolio performance results. …”
Get full text

A Systematic, Cross-Model Evaluation of Ensemble Light Scattering Sensors by Abhay Vidwans, Pratim Biswas

“…Despite the popularity of this model, little attention has been given to the later models of the Sharp GP2Y sensor, whose optical chambers are identical but have modified circuitry with features such as enhanced sensitivity and precision. …”
Get full text

Benchmarking CNN Architectures for Tool Classification: Evaluating CNN Performance on a Unique Dataset Generated by Novel Image Acquisition System by Muhenad Bilal, Ranadheer Podishetti, Daniel Grossmann, Markus Bregulla

“…The results show that diffuse illumination and complete tool views provide the best classification conditions, while restricted image sections with homogeneous illumination negatively affect model performance. Among the evaluated training strategies, fine-tuning proved the most efficient training method for developing CNN models for tool classification.…”
Get full text

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation by Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang

“…However, most of existing methods simplify the implicit frequency feedback to binary values, which make collaborative filtering unable to accurately learn the latent user and item features. Moreover, the traditional collaborating filtering methods generally use the linear functions to model the interactions between latent features. …”
Get full text

An open source code for modeling radio wave propagation in earth’s ionosphere by Alexander Green, William J. Longley, Meers M. Oppenheim, Matthew A. Young

“…In this paper, we provide a thorough description of the design and features of FARR. We also highlight specific use cases for future work, including coupling to external models for ionospheric densities, quantifying HF/VHF scintillation, and simulating radar backscatter. …”
Get full text

Implementing Astronomical Potential and Wavelet Analysis to Improve Regional Tide Modeling by Jihene Abdennadher, Moncef Boukthir

“…Model performance was assessed through comparison with tide gauge observations. …”
Get full text

A large language model for multimodal identification of crop diseases and pests by Yiqun Wang, Fahai Wang, Wenbai Chen, Bowen Lv, Mengchen Liu, Xiangyuan Kong, Chunjiang Zhao, Zhaocen Pan

“…Simultaneously, the model incorporates the Q-Former framework for effective modal alignment between language models and image features. …”
Get full text

Smart adaptive ensemble model for multiclass imbalanced nonstationary data streams by Abdul Sattar Palli, Jafreezal Jaafar, Mohamad Hanif Md Saad, Ainul Akmar Mokhtar, Heitor Murilo Gomes, Afzal Ahmed Soomro, Abdul Rehman Gilal

“…Abstract In real-time streaming data, concept drift and class imbalance may occur simultaneously which causes the performance degradation of the online machine learning models. …”
Get full text

LNT-YOLO: A Lightweight Nighttime Traffic Light Detection Model by Syahrul Munir, Huei-Yung Lin

“…The LNT-YOLO model outperforms the original YOLOv7-tiny model and other state-of-the-art object detection models in mAP performance by 13.7% to 26.2% on the TN-TLD dataset and by 9.5% to 24.5% on the LISA dataset. …”
Get full text

Reduced Slc1a1 expression is associated with neuroinflammation and impaired sensorimotor gating and cognitive performance in mice: Implications for schizophrenia. by Parisa Afshari, Wei-Dong Yao, Frank A Middleton

Get full text

Study on an effective integrated model of Ka-band mobile satellite channel by Juan WEI, Da LIU, Gang-qi TIAN

“…In order to describe the Ka-band mobile satellite communications channel fading features more realitically,a mobile satellite integrated channel model was proposed.The characteristics of the mobile satellite propogation channel were analysed in detail.Weather conditions,as well as multi-path fading and shadowing were taken into account as main influencing factors.On this basis,airspace channel model was built obeying the Gaussian distribution as well ground surface,which obey Rice,Rayleigh and Lognormal joint distribution.Then the integrated channel model was presented considering weather effects on condition that the two parts are independent each other in the influence of the channel characteristics.The mathematical analysis model and simulation model of the new integrated channel model were established respectively.Finally,the BER(bit error rate)performance was analyzed for different weather conditions and shadows.Compared with the theoretical BER,the integrated channel model in satellite mobile communication systems is correct and reasonable.…”
Get full text

Novel Hybrid Deep Learning Model for Forecasting FOWT Power Output by Mohammad Barooni, Deniz Velioglu Sogut, Parviz Sedigh, Masoumeh Bahrami

“…A hybrid deep learning model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks is proposed to predict the performance of FOWTs accurately and more efficiently than traditional numerical models. …”
Get full text

Semantic-BERT and semantic-FastText model for education question classification by Teotino Gomes Soares, Azhari Azhari, Nur Rohkman

“…A dataset of 2,173 educational questions covering five question classes (5W1H) is used for training and validation. The model evaluation uses a confusion matrix and K-Fold cross-validation, ensuring robust performance assessment. …”
Get full text