A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability by Arslan Abdul Ghaffar, Gyu Sang Choi

“…We created a specialized dataset of 20,000 images by combining five public datasets, applying a class fusion process to ensure consistent class definitions across diverse data sources. Our methodology addresses challenges such as underwater variation and class imbalance through tailored data augmentation, multi-scale feature analysis, temporal modeling, and weighted loss functions. …”
Get full text

Eco‐Friendly Biomass‐Based Carbon Dots, Carbon Nanotubes, Graphene, and Their Derivatives for Enhanced Oil Recovery: A New Horizon for Petroleum Industry by Ruhul Amin Foisal, Prof. Dr. Abu Bin Imran, Prof. Dr. Al‐Nakib Chowdhury

“…Abstract Oil extraction from reservoirs has never been easy, particularly when easily accessible oil sources run out. Enhanced oil recovery (EOR) is a dynamic area of petroleum engineering that seeks to maximize the quantity of crude oil that can be retrieved from an oil field. …”
Get full text

Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories by Stanley Cheung, Yanir London, Yuan Yuan, Bassem Tossoun, Yiwei Peng, Yingtao Hu, Thomas Van Vaerenbergh, Di Liang, Chong Zhang, Geza Kurczveil, Raymond G. Beausoleil

“…These non-volatile lasers are used to demonstrate optical ternary content-addressable memories (O-TCAM) which can find utility in fast memory search and in-memory computing functions necessary for various machine learning algorithms. …”
Get full text

Design and Fabrication of Cylindrical Fiber Backplanes with 2T1C Pixel Circuits for Truly Wearable Woven Displays by Jiseong Lee, Soyoon Park, Seong Uk Kong, Jiwoo Park, Daehyun Kim, Kyung Cheol Choi

“…This design demonstrates exceptional potential for high‐density integration, advanced functionality, and scalability in next‐generation electronic systems. …”
Get full text

Optimized Ribonucleoprotein Complexes Enhance Prime Editing Efficiency in Zebrafish by Lang Qin, Qiupeng Lin

Get full text

Optimization of train obstacle detection based on zone media controller unit by ZHOU Liming, HU Jiaqiao, SHEN Tuo

“…The final experimental results demonstrated over 99% successful detection rates for objects, people, and trains in the dataset of rail transit scenarios. …”
Get full text

A Spin–Orbit Torque Knob to Tailor Stochasticity for Physically Secured Applications by Hao‐Kai Chang, Meng‐Chi Yang, Ssu‐Yuan Wang, Chih‐Huang Lai, Chao‐Yao Yang

“…Increasing Hx suppresses this oblique dendritic domain growth, allowing for controllable domain propagation and reducing stochasticity. By utilizing Hx as an external knob to tailor the stochasticity at the intermediate state, the high stochastic state can be employed as an ideal entropy source for an SOT‐based random number generator.…”
Get full text

EPri-MDAS: An efficient privacy-preserving multiple data aggregation scheme without trusted authority for fog-based smart grid by Jinjiao Zhang, Wenying Zhang, Xiaochao Wei, Huimin Liu

“…For the sake of providing adequate functionality for the power grid, various schemes have been proposed. …”
Get full text

Insights into Isolation and Purification Strategies of Egg Allergens by Nikolina Sibincic, Ivana Prodic, Danijela Apostolovic, Christine Y. Y. Wai, Agnes S. Y. Leung, Marija Stojadinovic

“…Eggs are a great source of protein in the human diet. They are consumed in tens of millions of tons globally per year. …”
Get full text

Methods to Estimate the Channel Delay Profile and Doppler Spectrum of Shallow Underwater Acoustic Channels by Van Duc NGUYEN, Tien Hoa NGUYEN, Hoa Xuan Thi HO

“…In our channel sounding methods, a short impulse in form of a sinusoid function is successively sent out from the transmitter to estimated the channel impulse response (CIR). …”
Get full text

Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization by Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni

“…These criteria include measuring the difference between optimal values in successive iterations, calculating the mean value of the cost function in each iteration, and the so-called “DoubleBox” criterion, which is based on the relative variance of the best value of the objective cost function over a specific number of iterations. …”
Get full text

Physicochemical Properties of Avocado Seed Extract Model Beverages and Baked Products Incorporated with Avocado Seed Powder by Clinton O. Nyakang’i, Eunice Marete, Rebecca Ebere, Joshua M. Arimi

“…Studies have shown that the seeds are rich in phytochemicals that can be utilized in food systems. The objective of this study was to evaluate the potential of Hass avocado seed as a source of polyphenols in the processing of model beverages and baked products with functional properties. …”
Get full text

Plantonome: A Cross-Platform Application for Precision Agriculture by Deroussi Anass, Ait Madi Abdessalam, Alihamidi Imam, Chabou Zakaria, Addaim Adnane

“…This paper presents Plantonome, an open-source application developed using the Flutter software development kit (SDK) and the Dart programming language. …”
Get full text

A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…The classification of White Blood Cells (WBCs) is crucial for diagnosing diseases, monitoring treatment effectiveness, and understanding how the immune system functions. In this paper, we propose a deep learning approach to classify WBCs using Super Resolution Generative Adversarial Network (SRGAN) and Visual Geometry Group 19 (VGG19). …”
Get full text

Proteomic profiling of the human amniotic stem cell-highly abundant secreted proteins by Dan He, Yuqiang Cheng, Hongkai Lv, Anqi Geng, Jie Zheng, Lin Dang, Pengfei Li

“…In this study, the expression profiles of secreted proteins from AMSCs and AECs were comprehensively analyzed utilizing mass spectrometry-based proteomics. The 71 highly abundant proteins and their potential biological functions were further investigated. …”
Get full text

Synthesis of Nitrogen Slow Released Fertilizer Based Biochar Derived from Durian Shell by Booncharern Chattreeya, Boontha Teerat, Thongnam Kulthida, Tanangteerapong Duangkanok

“…There was some increase in functional groups representing chitosan after encapsulation, at 1156, 1453, and 1682 cm-1, indicating chitosan was successfully coated on the biochar fertilizers. …”
Get full text

Stable antivortices in multiferroic ε-Fe2O3 with the coalescence of misaligned grains by Wuhong Xue, Tao Wang, Huali Yang, Huanhuan Zhang, Guohong Dai, Sheng Zhang, Ruilong Yang, Zhiyong Quan, Run-Wei Li, Jin Tang, Cheng Song, Xiaohong Xu

“…Furthermore, the unpredictability of the polarity of the core was utilized as a source of entropy for designing physically unclonable functions. …”
Get full text

Phytobacter sp. RSE02 is a rice seed endophytic plant probiotic bacterium with human probiotic features and cholesterol-lowering ability by Santosh Kumar Jana, Rajarshi Bhattacharya, Sunanda Mukherjee, Samudra Gupta, Subhra Prakash Hui, Ansuman Chattopadhyay, Swadesh Ranjan Biswas, Sukhendu Mandal

“…We examine the safety and probiotic potential of RSE02 in human cell lines, zebrafish, and mice. Notably, RSE02 can utilize cholesterol as its sole carbon source; however, it does not adhere to the Caco-2 cell line or the zebrafish gut. …”
Get full text

Automated Recipe Generation AI Tool from Food Images using Machine Learning. Approach for Ingredient Extraction and Cooking Instructions by Lwamaza, Eddy, Nuwasiima, Happy

“…It outlines the systematic approach taken to analyze user needs, define functional and non-functional requirements, and develop a robust system architecture. …”
Get full text

Pre-service teachers preparedness for AI-integrated education: An investigation from perceptions, capabilities, and teachers’ identity changes by Lihang Guan, Yue Zhang, Mingyue Michelle Gu

“…The findings indicate a need for more awareness of the possible changes in teachers' functions and roles in collaborative AI-integrated education, leading to specific teacher-training demands that aid them in success in AI-integrated education.…”
Get full text