Waterbirds habitat mapping using unmanned aerial vehicle in Belawan Mangrove Ecosystems, North Sumatera, Indonesia by Thoha Achmad Siddik, Fauziyah Laely Nur, Jumilawaty Erni, Marwan Mochammad Akbar

“…Furthermore, aerial photo processing and Object-Based Image Analysis (OBIA) of the mapping results through UAVs are carried out. …”
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Using drone for chemical control of cabbage aphid, Brevicoryne brassicae L. (Hemiptera: Aphididae) in canola fields by Roghaiyeh Karimzadeh, Elsa Tabatabaie, Mir Jalil Hejazi, Saeid Behmaram

“…Results demonstrated that aerial spraying with drone was significantly more efficient, achieving two to six times higher efficacy against cabbage aphids than ground spraying, as measured by the reduction in aphid populations. Image analysis of water-sensitive cards indicated that drones produced finer droplets with smaller volume median diameters. …”
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Automated Breast Cancer Detection in Mammograms using Transfer Learningbased Deep Learning Models by Preeti Katiyar, Krishna Singh

“…Materials and Methods: The dataset obtained from the Mammographic Image Analysis Society (MIAS) was categorised into three distinct categories: benign, malignant and normal. …”
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Pixel and region-oriented classification of Sentinel-2 imagery to assess LULC dynamics and their climate impact in Nowshera, Pakistan by Farnaz, Nuthammachot Narissara, Shabbir Rabia, Iqbal Benazeer

“…The study states that for the assessment of LULC changes in Nowshera, the region-oriented image analysis provides a higher level of classification accuracy than the pixel-based approach. …”
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PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs by Chengrong Yang, Qiwen Jin, Fei Du, Jing Guo, Yujue Zhou

“…Abstract By leveraging large-scale image-text paired data for pre-training, the model can efficiently learn the alignment between images and text, significantly advancing the development of zero-shot learning (ZSL) in the field of intelligent medical image analysis. However, the heterogeneity between cross-modalities, false negatives in image-text pairs, and domain shift phenomena pose challenges, making it difficult for existing methods to effectively learn the deep semantic relationships between images and text. …”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Though each algorithms was developed to serve different objectives of ML applications in RS data processing, their technical implementation and practical purposes present valuable approaches to cartographic data processing and image analysis. The results shown that the most time-consuming algorithms was noted as SVM classification, while the fastest results were achieved by the GaussianNB approach to image processing and the best results are achieved by RF Classifier.…”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…Brain tumor detection and classification have become challenging and time-consuming for domain-specific radiologists and pathologists in medical image analysis. So, automatic detection and classification are essential to reduce the time of diagnosis. …”
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Evaluation of marginal accuracy of polyetheretherketone and zirconia copings fabricated using computer-aided design/computer-aided manufacturing technique: An in vitro study by Manish Jangade, Ranu Sharma, Nishanth A. Sudharson, Raj Jain, Shailendra Kumar Sahu, Anurag Dani

“…Vertical marginal accuracy was assessed with a stereomicroscope and image analysis software at ×20 magnification. The marginal gaP values were subjected to a student (independent) t-test for statistical analysis. …”
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A deep learning method for differentiating safflower germplasm using optimal leaf structure features by Hoang Thien Van, Phuong Thuy Khuat, Trang Van, Thai Thanh Tuan, Yong Suk Chung

“…These findings demonstrate that leaf image analysis is an effective and affordable tool for investigating the phenotypic diversity among safflower cultivars. …”
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Utilization of bark extract of Phyllanthus emblica as a sustainable corrosion inhibitor to reinforced concrete infrastructures in aggressive environments by Gautam Madhab, Subedi Dhruba B., Dhungana Jivan R., Bhattarai Nootan P., Bhattarai Jagadeesh

“…., normal, industrial and marine). Optical image analysis of the ReMS supported the electrochemical findings. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…Methods: We demonstrated the use of deep learning models in CE image analysis, specifically by piloting a bowel preparation model (BPM) and an abnormality detection model (ADM) to determine frame-level view quality and the presence of abnormal findings, respectively. …”
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AI-Enhanced Design and Application of High School Geography Field Studies in China: A Case Study of the Yellow (Bohai) Sea Migratory Bird Habitat Curriculum by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…The course content revolves around the “human–land coordination concept”, including pre-trip thinking, research and study during the trip, and post-trip exhibition learning, covering regional cognition, remote sensing image analysis, field investigation, and protection plan display activities. …”
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Protocol to study the role of medial entorhinal cortex-basolateral amygdala circuit in context-induced retrieval of morphine withdrawal memory in mice by Yali Fu, Ting Ye, Ming Chen, Bin Lai, Ping Zheng

“…Then, we detail procedures of immunofluorescence staining and image analysis.For complete details on the use and execution of this protocol, please refer to Fu et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Benthic algal community dynamics on Palmyra Atoll throughout a decade with two thermal anomalies by Adi Khen, Maggie D. Johnson, Michael D. Fox, Jennifer E. Smith

“…We quantified the percent cover of algal taxa via image analysis of permanent benthic photoquadrats from two habitats on Palmyra: the deeper, wave-exposed fore reef (10 m depth) and the shallower, wave-sheltered reef terrace (5 m depth). …”
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Application of sacrificial coatings and effect of composition on Al-Al3Ni ultrafine eutectic formation by Čelko L., Klakurková L., Smetana B., Slámečka K., Žaludová M., Hui D., Švejcar J.

“…The formation processes and resultant microstructures were studied by means of differential thermal analysis, metallography, scanning electron microscopy, energy dispersive microanalysis, and image analysis techniques.…”
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Optical Coherence Tomography Angiography of Macular Perfusion Changes after Anti-VEGF Therapy for Diabetic Macular Edema: A Systematic Review by Ayman G. Elnahry, Gehad A. Elnahry

“…This could have been due to differences in study design, inclusion criteria, type of anti-VEGF agents used, treatment duration, and methods of image analysis and vascular density quantification. All identified studies were noncomparative case series, and 14 of them (87.5%) used the RTVue XR Avanti OCTA machine. …”
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Analogue model of rift linkage and inversion with application to the Western Alps by Dall’Asta, Nicolas, Denèle, Yoann, Regard, Vincent, Frayssignes, Anne, Hoareau, Guilhem, Leroy, Sylvie, Pires, Thibaut

“…Here we focus on rift/margin linkage domains and their inversion by using analogue models with image analysis to extract the 3D strain field. Extensional models document, depending on the strike-perpendicular offset and the brittle-crust thickness, three types of rift linkage modes: (1) oblique linkage with early T-fault, (2) strongly-oblique linkage with R-fault network and, (3) transfer-linkage with late Y-strike-slip fault. …”
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Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning by K. S. Koushik, B. J. Bipin Nair, N. Shobha Rani, Mohammed Javed

“…Document classification is a challenging research problem in Document image analysis, majorly the presence of degradations like low illumination, blur, and shadows. …”
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Non-target effects of ten essential oils on the egg parasitoid Trichogramma evanescens by van Oudenhove, Louise, Cazier, Aurélie, Fillaud, Marine, Lavoir, Anne-Violette, Fatnassi, Hicham, Perez, Guy, Calcagno, Vincent

“…Specific experimental setups were developed, and data obtained from image analysis were interpreted with phenomenological models fitted with Bayesian inference. …”
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Experimental Investigation on Organic Matter Orientation Characteristics of Terrestrial and Marine Shale in China by Dunqing Liu, Hongkui Ge, Yinhao Shen, Kui Zhang

“…In this study, terrestrial and marine shale samples were collected from three different shale plays in China, and the arrangement characteristics of OM grains in each sample were investigated by SEM (scanning electron microscope) image analysis. The results indicate that OM grains in shale are not evenly distributed in isotropic medium, and their directional alignment is pervasive in both marine and terrestrial shale. …”
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