Performance evaluations of AI-based obfuscated and encrypted malicious script detection with feature optimization by Kookjin Kim, Jisoo Shin, Jong-Geun Park, Jung-Tae Kim

“…Toovercome the limitations of signature-based detection methods, this study pro-posed a methodology for real-time detection of obfuscated and encrypted mali-cious scripts using ML/DL models with feature optimization techniques. …”
Get full text

Research on the optimization of grouting flow detection sensor layouts based on laser ranging technology by Lichang Wang, Wei Long, Zhanghui Fei, Zhongli Yang, Meng Xu, Lu Wang

“…This work provides a validated framework for sensor layout optimization, enhancing the reliability of laser-based grouting flow detection in practical applications.…”
Get full text

Development and Optimization of Micro‐Nanotopographical Platforms for Surface Enhanced Raman Scattering Biomolecular Detection by David Femi Odetade, Jonathan J. S. Rickard, Pola Goldberg Oppenheimer

“…Abstract Topologically designed micro‐ and nanostructured surface‐enhanced Raman scattering (SERS) substrates propel the advancements of innovative applications, including environmental and forensic point‐of‐care miniaturised devices via enhancing the localised electric fields for accurate analyte sensing. Herein, a method for designing, optimising and fabricating fine‐tuneable concentric hexagonal, triangular and rectangular SERS‐active micronano‐substrates is developed, with each unit yielding significant enhancement. …”
Get full text

Genetically encoded sensors illuminate in vivo detection for neurotransmission: Development, application, and optimization strategies by Xiaoyu Zhong, Hengyu Gu, Juyao Lim, Peng Zhang, Guangfu Wang, Kun Zhang, Xiaowan Li

Get full text

Smart Edge Computing Framework for Real-Time Brinjal Harvest Decision Optimization by T. Tamilarasi, P. Muthulakshmi, Seyed-Hassan Miraei Ashtiani

“…Tested on diverse farm layouts, the BHDS achieved 95.53% accuracy in data collection and captured quality images within an average of 3 s, reducing both time and energy for dataset creation. The brinjal detection algorithm employs pixel-based methods, including background elimination, K-means clustering, and symmetry testing for precise identification. …”
Get full text

Vision-Based Detection, Localization, and Optimized Path Planning for Rebar Intersections in Automated Construction by Chengxiang Li, Weimin Zhang, Fangxing Li, Meijun Guo, Shicheng Fan

“…The presented solution offers a lightweight, precise, and scalable framework, significantly facilitating the integration of vision-based methods into automated construction workflows.…”
Get full text

AquaYOLO: Advanced YOLO-based fish detection for optimized aquaculture pond monitoring by M. Vijayalakshmi, A. Sasithradevi

“…However, traditional methods of monitoring aquatic environments are time-consuming and labor-intensive. …”
Get full text

Optimizing Mask R-CNN for enhanced quinoa panicle detection and segmentation in precision agriculture by Manal El Akrouchi, Manal El Akrouchi, Manal Mhada, Dachena Romain Gracia, Malcolm J. Hawkesford, Bruno Gérard

Get full text

Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…The proposed NGPGAN model integrates object detection and tracking stages, leveraging the Kalman filter with Northern Goshawk Optimization (NGO) for tracking and employing NGPGAN for detection. …”
Get full text

Control-Flow-Based Methods to Support the Development of Sound Workflows by Thomas M. Prinz, Wolfram Amme

Get full text

An Explainable LSTM-Based Intrusion Detection System Optimized by Firefly Algorithm for IoT Networks by Taiwo Blessing Ogunseyi, Gogulakrishan Thiyagarajan

Get full text

Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization by Raman Dugyala, Premkumar Chithaluru, M. Ramchander, Sunil Kumar, Arvind Yadav, N. Sudhakar Yadav, Diaa Salama Abd Elminaam, Deema Mohammed Alsekait

“…Additionally, the study introduces an optimized Grasshopper Optimization algorithm, which enhances the performance of the Optimal Neural Network, further refining detection accuracy. …”
Get full text

Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning by Akindele S. Afolabi, Olubunmi A. Akinola

“…The security of communication networks can be compromised through both known and novel attack methods. Protection against such attacks may be achieved through the use of an intrusion detection system (IDS), which can be designed by training machine learning models to detect cyberattacks. …”
Get full text

Deep Learning–Based Enhanced Optimization for Automated Rice Plant Disease Detection and Classification by P. Preethi, R. Swathika, S. Kaliraj, R. Premkumar, J. Yogapriya

“…This study introduces an advanced approach for automated rice plant disease detection and classification by integrating deep learning and metaheuristic optimization techniques. …”
Get full text

The quadruplex TaqMan MGB fluorescent quantitative PCR method for simultaneous detection of feline panleukopenia virus, feline herpesvirus 1, feline calicivirus and feline infectio... by Haojie Wang, Lihong Xue, Longxi Wang, Yixuan Liu, Jianxing Chen, Yue Sun, Tongqing An, Hongyan Chen, Changqing Yu, Changyou Xia, He Zhang

“…After optimizing the concentrations of primers and probes and annealing temperature, a quadruplex TaqMan MGB fluorescent quantitative PCR method was established to concurrently detect these four pathogens. …”
Get full text

First Electrochemical Method of Nitrothal-Isopropyl Determination in Water Samples by Dariusz Guziejewski, Agnieszka Nosal-Wiercińska, Sławomira Skrzypek, Witold Ciesielski, Sylwia Smarzewska

“…The calibration curve (SWSV) was linear in the nitrothal-isopropyl concentration range from 2.0 × 10−7 to 2.0 × 10−6 mol L−1 with detection limit of 3.46 × 10−8 mol L−1. The repeatability of the method was determined at a nitrothal-isopropyl concentration level equal to 6.0 × 10−7 mol L−1 and expressed as RSD = 5.5% (n=6). …”
Get full text

Optimized Flexible Microheater With Integrated Electrodes and Microchannel for On-Chip Bacterial Incubation and Electrochemical Detection by Sonal Fande, Khairunnisa Amreen, D. Sriram, Sanket Goel

“…The in-house fabricated microheater has been successfully employed for bacteria culturing at <inline-formula> <tex-math notation="LaTeX">$37~^{\circ }$ </tex-math></inline-formula> C and developing a bacteria-on-chip platform for AMR detection. The microheater performance has been parametrically optimized using Multiphysics simulations and the design of experiments. …”
Get full text

Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion by Qiang Wang, Shiyu Guan, Shuchang Lyu, Guangliang Cheng

“…However, the constrained battery life and limited computational resources of drones present challenges for real-time fire detection. Existing methods primarily focus on fire target identification without considering the distinct color and thermal characteristics of flames, leading to suboptimal detection accuracy. …”
Get full text

AI-optimized electrochemical aptasensors for stable, reproducible detection of neurodegenerative diseases, cancer, and coronavirus by Amira Elsir Tayfour Ahmed, Th.S. Dhahi, Tahani A. Attia, Fawzia Awad Elhassan Ali, Mohamed Elshaikh Elobaid, Tijjani Adam, Subash C.B. Gopinath

“…Leveraging data-driven AI techniques, these sensors provide a non-invasive, cost-effective alternative to traditional methods, with applications in detecting molecular biomarkers for neurodegenerative diseases, cancer, and coronavirus. …”
Get full text

Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland by Marcin Kozniewski, Łukasz Kolendo, Szymon Chmur, Marek Ksepko

“…Various algorithmic parameters, such as pixel size and crown segmentation thresholds, can substantially impact tree crown detection accuracy. This study aims to explore the influence of tree stand features and parameters on the effectiveness of the individual tree crown detection method based on a watershed algorithm, leading to identifying optimal configurations that enhance the reliability of forest inventories and support sustainable management practices. …”
Get full text