Sulfate-based coagulants can suppress methanogenesis in treated oil sands fine tailings by Philip A. Adene, Mojtaba Abdolahnezhad, Mian N. Anwar, Ania C. Ulrich, Matthew B. J. Lindsay

“…Abstract Bitumen extraction from mined oil sands ore generates a large volume of fluid fines tailings (FFT) that must be incorporated into either aquatic or terrestrial reclamation landforms. …”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…The model synergizes CNNs for hierarchical spatial feature extraction and SNNs for biologically inspired temporal dynamics processing. …”
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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks by Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim

“…Its ability to combine local feature extraction and global context understanding makes it ideal for tasks like medical image analysis and disease diagnosis.…”
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MobDenseNet: A hybrid deep learning model for brain tumor classification using MRI by Meher Afroj, M. Rubaiyat Hossain Mondal, Md Riad Hassan, Sworna Akter

“…The proposed MobDenseNet is developed using the concepts of existing deep learning models: MobileNetV1 and DenseNet; the model incorporates hyperparameter fine-tuning and feature fusion ensemble during the feature extraction phase, consolidating layers like batch normalization, dense layers in the classification step to classify brain tumors. …”
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Protocol for processing and analyzing multiplexed images improves lymphatic cell identification and spatial architecture in human tissue by Justin A. Smith, Drew T. Bloss, MacKenzie D. Williams, Amanda L. Posgai, Todd M. Brusko, Mark A. Atkinson, Clive H. Wasserfall, Maigan A. Brusko

“…We describe steps for parameter tuning and batch processing of raw image data including illumination correction, stitching, deconvolution, 3D-2D conversion, registration, and autofluorescence subtraction. …”
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A DSP–FPGA Heterogeneous Accelerator for On-Board Pose Estimation of Non-Cooperative Targets by Qiuyu Song, Kai Liu, Shangrong Li, Mengyuan Wang, Junyi Wang

“…Optimization techniques, including batch normalization fusion, ReLU integration, and linear quantization, are applied to improve inference efficiency. …”
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Machine Learning Enabled Prediction of Biologically Relevant Gene Expression Using CT‐Based Radiomic Features in Non‐Small Cell Lung Cancer by Shrey S. Sukhadia, Christoph Sadée, Olivier Gevaert, Shivashankar H. Nagaraj

“…Radiomic techniques automate the precise extraction of imaging features from tumor regions in radiographic scans, which are subjected to machine learning (ML) to predict genomic attributes. …”
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ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset by Masum Shah Junayed, Md Baharul Islam, Afsana Ahsan Jeny, Arezoo Sadeghzadeh, Topu Biswas, A. F. M. Shahen Shah

“…The pre-processed input images are fed into our proposed model, namely <italic>ScarNet</italic>, for deep feature map extraction. The optimizer, loss function, activation functions, filter and kernel sizes, regularization methods, and the batch size of the proposed architecture are tuned so that the classification performance is maximized while minimizing the computational cost. …”
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Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients by Irshad Ahmed Abbasi, Mohammed Alshehri, Yahya AlQahtani

“…These methods encompassed adaptive threshold algorithms, batch processing pipelines, and image attribute extraction algorithms. …”
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Multi-level residual network VGGNet for fish species classification by Eko Prasetyo, Nanik Suciati, Chastine Fatichah

“…The development of an image-based fish classification system using Convolutional Neural Network (CNN) has the advantages of no longer directly conducting features extraction and several features analysis. These steps has been involved by cascading convolution from initial to final block, where the initial, middle, and final blocks produce low-, middle-, and high-level features, respectively. …”
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Dynamically Tunable Multidimensional Feature Focusing and Diffusion Networks for Water Surface Debris Detection by Chong Zhang, Jie Yue, Jianglong Fu

“…First, a Self-moving Point Convolutional Gating Network (SPCG-Net) was designed, which integrated an adaptive point-moving mechanism with a convolutional gating linear unit to enhance the flexibility and accuracy of feature extraction. Second, an Attention-based Re-parameterization of Intra-scale Feature Interactions (ARIFI) module was constructed to process high-level features extracted from the backbone. …”
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BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis by Anas W. Abulfaraj

“…Batch normalization and dropout are implemented to prevent overfitting. …”
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Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models by Abdessamad Benlahbib, Achraf Boumhidi, Anass Fahfouh, Hamza Alami

“…Notably, state-of-the-art (SOTA) results were obtained by fine-tuning GPT-4o with extensive hyperparameter tuning, including experimenting with various epochs and batch sizes. This comparative analysis provides valuable insights into the relative strengths of each technique for identifying morphological, syntactic, and semantic violations, highlighting the effectiveness of LLMs in these tasks.…”
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Learning the continuous-time optimal decision law from discrete-time rewards by Chen Ci, Xie Lihua, Xie Kan, Lewis Frank Leroy, Liu Yilu, Xie Shengli

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Burst agitation rate promotes sustained semicontinuous cultivation of filamentous fungi in stirred tank reactors by Conor Ó Lochlainn, Federico Cerrone, Kevin E. O’Connor

“…Abstract Edible filamentous fungi L. edodes (shiitake mushrooms) were cultivated in submerged fermentation in stirred tank bioreactors (STR) both in batch and semicontinuous cultivation in a corn steep liquor (CSL) medium. …”
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A Scalable Data-Driven Surrogate Model for 3D Dynamic Wind Farm Wake Prediction Using Physics-Inspired Neural Networks and Wind Box Decomposition by Qiuyu Lu, Yuqi Cao, Pingping Xie, Ying Chen, Yingming Lin

“…A physics-inspired NN architecture featuring an autoencoder for spatial feature extraction and latent space dynamics for temporal evolution is introduced, motivated by the time–space decoupling structure observed in the Navier–Stokes equations. …”
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Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition by Jinghang Liu, Xiangyuan Xu, Yan Qiu, Chunzhi Wang

“…This mechanism incorporates batch normalization and residual connections to ensure stable and effective feature extraction. …”
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Hair Dehydroepiandrosterone Sulfate (DHEA(S)) and Cortisol/DHEA(S) Ratio as Long-Lasting Biomarkers of Clinical Syndromes Exhibited by Piglets Early in Life by Annalisa Scollo, Alessio Cotticelli, Tanja Peric, Alice Perrucci, Alberto Prandi, Paolo Ferrari

“…Hair from 25 gilts per batch were collected at either 3.5 or 9 months of age, and hormone extraction was subsequently performed. …”
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Amismart an advanced metering infrastructure for power consumption monitoring and forecasting in smart buildings by Sarah Hadri, Mehdi Najib, Mohamed Bakhouya, Youssef Fakhri, Mohamed El aroussi, Zaradatcht Taifour, Jaafar Gaber

“…In offline mode, the CNN-LSTM model outperformed all other methods with a sMAPE of 1.01%, demonstrating the advantage of deep feature extraction and complete data availability in batch forecasting. …”
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Xylanase production by Penicillium sp. Pn004 and its application for grass hydrolysis: High value subproduct from non-centrifugal sugarcane bagasse and wheat bran by Anny Daniela Martínez, Amaury Blanco Paz, Vanessa Chavarro-Anzola, Juan Carlos Barrios Murcia, Eddy J. Bautista

“…Non-centrifugal sugarcane bagasse (SCB) is a residue obtained after sugarcane juice extraction during the manufacturing process of panela and is mostly used as fuel for boilers at sugar mills. …”
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