DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI by Saravanan Srinivasan, Lalitha Somasundharam, Sukumar Rajendran, Virendra Pal Singh, Sandeep Kumar Mathivanan, Usha Moorthy

“…Abstract Objective The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques. Material An open-source collection of fruit disease images, comprising both diseased and healthy samples from the first five fruit types, was used in this study. …”
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Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage by Farid Merahi, Hamza Mernache, Djamal Aouzelag, Abd Essalam Badoud, Mohit Bajaj, Ievgen Zaitsev

“…Abstract Wind energy plays a crucial role as a renewable source for electricity generation, especially in remote or isolated regions without access to the main power grid. …”
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Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network by Vassiliki Markogianni, Dionissios P. Kalivas, George P. Petropoulos, Rigas Giovos, Elias Dimitriou

“…Today, open-source Cloud Computing platforms are valuable for geospatial image analysis while the combination of the Google Earth Engine (GEE) platform and new satellite launches greatly facilitate the monitoring of national-scale lake Water Quality (WQ). …”
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State of health prediction of lithium-ion batteries in charging chambers based on multi-modal deep learning by ZHAO Yinghua, CHEN Anbi, ZHANG Zengyu, LI Wenzhong, HAN Yu

“…A multi-modal deep learning network model, TCN-BiLSTM-Transformer, was constructed, leveraging a multi-level feature extraction mechanism for efficient processing of temporal signals. The Temporal Convolutional Network (TCN), utilizing dilated convolutional kernels with an exponential expansion rate, captured multi-scale local features while preserving temporal integrity. …”
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Development of empirical correlations for sustainable breakup characterization of water and high-viscous oil sheets under acoustic perturbations using high-speed imaging by Aman Singh, Devesh T, Subhash K, Preetam Polavarapu, Jayakrishnan Rahul, Karthick S, Balaji K

“…The key innovation of this study is the design and fabrication of a compact liquid sheet acoustic atomizer that efficiently utilizes acoustic energy to produce high-quality sprays. …”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…Specifically, we prompt Llama3, an open-source instruction-tuned large language model, to generate synthetic training data to expand our limited labeled data and adapt BERT, a small pretrained language model, to the task. …”
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Effects of autolytical fish protein hydrolysate on growth performance, survival rate, and hematological indices in farmed juvenile beluga, Huso huso by Ali Hosseinpour Zelaty

“…They have been found to enhance fish growth, feed efficiency, immune responses, and disease resistance. …”
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Low Saturation Confidence Distribution-based Test-Time Adaptation for cross-domain remote sensing image classification by Yu Liang, Shilei Cao, Juepeng Zheng, Xiucheng Zhang, Jianxi Huang, Haohuan Fu

“…Therefore, we propose Low Saturation Confidence Distribution Test-Time Adaptation (LSCD-TTA), marketing the first attempt to explore Test-Time Adaptation for cross-domain RS image classification without requiring source or target training data. LSCD-TTA adapts a source-trained model on the fly using only the target test data encountered during inference, enabling immediate and efficient adaptation while maintaining high accuracy. …”
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Structured design of a hydrochar-supported LDH/MOF composite for improved photocatalytic applications by Gilberto Rafael Jarre-Vera, Bryan Fernando Rivadeneira-Mendoza, Kevin Jhon Fernández-Andrade, Krishna Kumar Yadav, Iris B. Pérez-Almeida, María Dolores Saquete, Nuria Boluda-Botella, Joan Manuel Rodríguez-Díaz

“…Consequently, we present a novel material that exhibits exceptional energy utilization efficiency for AOPs, particularly effective against emerging contaminants.…”
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Enhancing AI microscopy for foodborne bacterial classification using adversarial domain adaptation to address optical and biological variability by Siddhartha Bhattacharya, Siddhartha Bhattacharya, Aarham Wasit, Aarham Wasit, J Mason Earles, J Mason Earles, Nitin Nitin, Nitin Nitin, Jiyoon Yi

“…AI-enabled microscopy is emerging for rapid bacterial classification, yet its utility remains limited in dynamic or resource-limited settings due to imaging variability. …”
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A Solution‐Based Deposition Method Enabling Pigment Blue Edible Electrochemical Transistors by Alessandro Luzio, Fabrizio M. Ferrarese, Matteo Butti, Alberto D. Scaccabarozzi, Bojan Petrović, Sanja Kojić, Goran Stojanović, Simone Fiorini Granieri, Shubham Tanwar, Adrica Kyndiah, Mario Caironi

“…Moreover, the proposed method results in a limited impact of impurities on CuPc charge transport efficiency, thus affecting the purification costs and, crucially, enabling the sourcing of CuPc pigments through recycling and upcycling.…”
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Strategic bioprocessing of A. protothecoides and C. sorokiniana using renewable feedstocks for targeted bioproduct and biodiesel generation by Eleni Krikigianni, Kyriakos Antoniadis, Paul Christakopoulos, Ulrika Rova, Leonidas Matsakas, Alok Patel

“…These findings advance microalgal bioprocessing by emphasizing the importance of fine-tuning cultivation strategies and utilizing renewable nutrients to maximize resource efficiency and optimize the biosynthesis of valuable bioproducts, such as proteins, pigments, carbohydrates, and high-quality lipids.…”
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Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability by Z. J. Yue, N. N. Wang, B. D. Xu, X. Huang, D. M. Yang, H. B. Xiao, Z. H. Shi

“…(c) Conformal prediction‐based UQ provides probabilistic information to quantify prediction reliability and efficiency, alongside uncertainty sources: discharge (∼38.9%) > precipitation (∼33.4%) > land cover (∼19.6%) > SPEI (∼8.1%). …”
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Research on optimization technology of new pipeline design for regional natural gas pipeline network by Jingyi CUI, Kunfeng ZHU, Cuixian GAO, Li GU, Jing REN, Yuxing LI, Wuchang WANG

“…To meet future gas demand and enhance the efficiency of pipeline design, it is essential to review and analyze existing pipeline planning and design methods, as well as optimization algorithms. …”
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Taguchi Method-Based Synthesis of a Circular Antenna Array for Enhanced IoT Applications by Wided Amara, Ramzi Kheder, Ridha Ghayoula, Issam El Gmati, Amor Smida, Jaouhar Fattahi, Lassaad Latrach

“…To address this limitation, the synthesis method utilizing the Taguchi approach, originally designed for linear arrays, can be effectively extended to two-dimensional or planar antenna arrays. …”
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Experimental determination and theoretical calculation for CO2 liquid-solid phase equilibrium in PLNG by Zihe LI, Jianlu ZHU, Qing MIAO, Feng YAN, Xin OUYANG, Chaofei NIE, Hui HAN, Yuxing LI

“…However, their current high cost presents challenges in terms of economic efficiency for some gas fields, limiting their widespread adoption and application to some extent. …”
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Endophytic Trichoderma asperellum WNZ-21 produces novel bioactives with anticancer, anti-inflammatory, and hemoprotective properties from fermented bean biomass by Yasmene F. Alanazi, Salma Saleh Alrdahe, Zeiad Moussa, Doaa Bahaa Eldin Darwish, Haifa Alrdahi, WesamEldin I. A. Saber

“…We employed a novel approach utilizing the isolated Trichoderma asperellum WNZ-21 [identified morphologically and molecularly (ITS: OR857252, tef1 gene: PP069312)] in semi-solid-state fermentation to bioconvert common bean biomass residue (RCBB) into a rich source of metabolites with significant therapeutic potential. …”
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New method for landslide susceptibility evaluation in alpine valley regions that considers the suitability of InSAR monitoring and introduces deformation rate grading by Dingyi Zhou, Zhifang Zhao, Wenfei Xi, Xin Zhao, Jiangqin Chao

“…Incorporating Interferometric Synthetic Aperture Radar (InSAR) data sources into the landslide susceptibility evaluation process has yielded favorable outcomes in some studies. …”
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Review of hydrogen transmission pipeline technology development by Debao CHENG, Jiangang LIN, Naiteng WEI, Wenxia YU, Chunlei DANG, Huafeng TIAN

“…Objective Hydrogen energy stands out as a widely utilized and ecologically sustainable fuel source, renowned for its cleanliness, high efficiency, diverse sources, and renewability. …”
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Building sustainable information systems and transformer models on demand by Thomas Asselborn, Sylvia Melzer, Simon Schiff, Magnus Bender, Florian Andreas Marwitz, Said Aljoumani, Stefan Thiemann, Konrad Hirschler, Ralf Möller

“…In the humanities, evaluating numerous data sets efficiently is crucial for current and future projects. …”
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