A Modified MobileNetv3 Coupled With Inverted Residual and Channel Attention Mechanisms for Detection of Tomato Leaf Diseases by Rubina Rashid, Waqar Aslam, Romana Aziz, Ghadah Aldehim

“…While deep learning models have been instrumental in detecting plant leaf diseases, they often involve complex models and significant computational demands to achieve optimal performance. This study introduces a feasible lightweight model optimized for an Android application to detect diseased areas within images. …”
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Prediction analysis and control strategies on coupling coordination between low-carbon transportation and high-quality economic development in the backward U-shaped bend metropolit... by Wang Wei, Mo Yuan-rui, Guan Lei, Gong Liang

“…The CCDs of these 15 cities have shown a growth trend, with the average CCD projected to reach the stage of barely coordinated development（0.554）by 2030. (3) Four key indicators，which include the share of non-fossil energy consumption, highway network density, air passenger traffic per 10,000 people and high-speed rail mileage per 10,000 people, have significant positive driving effects on the development of LCT. …”
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ORD-YOLO: A Ripeness Recognition Method for Citrus Fruits in Complex Environments by Zhaobo Huang, Xianhui Li, Shitong Fan, Yang Liu, Huan Zou, Xiangchun He, Shuai Xu, Jianghua Zhao, Wenfeng Li

“…Second, the feature fusion process is optimized and inference speed is increased by integrating a Re-parameterizable Generalized Feature Pyramid Network (RepGFPN). …”
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Design of netted muskmelon digital twin growth model based on HMM+LSTM algorithm by LU Peng, LIU Mingtang, WU Shanshan, LI Bin, LI Shihao, WANG Changchun, YANG Yangrui, JIANG Enhui

“…【Result】Simulation results demonstrated high recognition accuracy across different growth stages: 85.3% for seed and seedling stages, 78.6% for leaf stage, with an overall average accuracy of 82.8%. 【Conclusion】The proposed system, combining wireless sensor networks with HMM+LSTM algorithms to generate 3D growth models of muskmelon digital twins, achieves precise, efficient, and non-destructive visualization of the entire growth process, and can be extended to construct digital twins for other crops.…”
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Comprehensive Genetic and Morphological Analysis of Algerian Carob (<i>Ceratonia siliqua</i> L.) Accessions by Oussama Smaili, Leonardo Paul Luca, Francesco Scollo, Nadjiba Chebouti-Meziou, Chiara Catalano, Mario Di Guardo, Gaetano Distefano, Elisabetta Nicolosi, Alessandra Gentile, Stefano La Malfa

“…Allelic richness indicated high polymorphism, with an average of 3.81 alleles and 5.36 genotypes for nuclear SSR markers. …”
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Response to Central Boost Radiation Therapy in Unresectable Retroperitoneal Sarcoma: A Case Series by Danielle N. Burner, BS, Peter G. Hendrickson, MD, PhD, Diana M. Cardona, MD, Dan G. Blazer, III, MD, James B. Mullins, CMD, David G. Kirsch, MD, PhD

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A Detailed Relevance Analysis of Enabling Technologies for 6G Architectures by Diego Gabriel Soares Pivoto, Tiberio Tavares Rezende, Michelle Soares Pereira Facina, Rodrigo Moreira, Flavio de Oliveira Silva, Kleber Vieira Cardoso, Sand Luz Correa, Antonia Vanessa Dias Araujo, Rogerio Sousa E. Silva, Heitor Scalco Neto, Gustavo Rodrigues de Lima Tejerina, Antonio Marcos Alberti

“…Such demands cover emerging applications, such as remote surgeries in Smart Health use cases, whose latency and reliability network requirements cannot be met by current communication systems; or simply improving current applications with more challenging requirements to be achieved, such as increasing the transmission rate in a mobile network, offering Quality of Service (QoS), and consequently, better user experience. …”
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Research on a machine vision-based electro-killing pheromone-baited intelligent agricultural pest monitoring method by Guozhi Li, Zhengbo Liu, Zhengbo Liu, Zelin Feng, Jun Lyu, Bin Li, Guo Chen, Qing Yao

“…The YOLOv9-TrapPest model outperforms other detection models, achieving 97.5% average precision and 98.3% mAP50 for detecting seven pest species. …”
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UAV-Based Automatic Detection of Missing Rice Seedlings Using the PCERT-DETR Model by Jiaxin Gao, Feng Tan, Zhaolong Hou, Xiaohui Li, Ailin Feng, Jiaxin Li, Feiyu Bi

“…The experimental results show that PCERT-DETR achieves an optimal performance on the self-constructed dataset, with an mean average precision (mAP) of 81.2%, precision (P) of 82.8%, recall (R) of 78.3%, and F₁-score (F₁) of 80.5%. …”
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Multiscale Pore Architecture and Its Influence on Porosity, Permeability, and Fluid Flow in Tight Gas Reservoirs of the Shihezi H8 Formation, Ordos Basin by Muhammad Toseef Adnan, Guishan Zhang, Bin Chang, Hu Wei, Ren Peng, Wang Chang, Liang Wang

“…Characterizing pore network morphology and its influence on critical reservoir properties such as porosity, permeability, and fluid flow pathways is imperative for maximizing production from tight gas sandstone reservoirs. …”
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Synthesis of Copper Nanowires Using Monoethanolamine and the Application in Transparent Conductive Films by Xiangyun Zha, Depeng Gong, Wanyu Chen, Lili Wu, Chaocan Zhang

“…At an MEA concentration of 210 mM, the synthesized Cu NWs have an average diameter of approximately 101 nm and a length of about 28 μm. …”
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Identification and Evaluation of the Main Constraints on Cotton Production Within a Collective Drip Irrigation System in Southern Xinjiang, China by Zhanghao Sun, Zhen Wang, Jiusheng Li

“…The Structural Equation Model (used to evaluate the causal relationships among multiple variables) revealed that both irrigation depth and soil texture indirectly affect yield by affecting soil inorganic nitrogen and plant N uptake and that soil nitrogen management is critical in resisting yield decline caused by constraints. An optimized irrigation schedule, improved uniformity of the drip irrigation network and adjusted drip fertilization strategies could be used for site-specific management to address the yield decline due to the main constraints and improve water and fertilizer use efficiency under drip irrigation management.…”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

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ON REASONABLE ESTIMATE OF ENERGY PERFORMANCE OF THE RESIDENTIAL BUILDINGS SUSTENANCE WITH CENTRALIZED HEAT-SUPPLY SYSTEM by S. N. Osipov

“…The first segments in the energy performance process are producing heat and transporting it over the main lines and outside distribution networks. In the period from 2006 to 2013, by virtue of the heat-supply schemes optimization and modernizing the heating systems using valuable (200–300 $US per 1 m) though hugely effective preliminary coated pipes, the economy reached 2,7 MIO tons of fuel equivalent. …”
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Abrasion Resistance and Mechanism Analysis of Polyethylene Fiber-reinforced Cementitious Composite by ZI Jinjia, LI Weibin, WANG Jihong, WANG Zhiwen, LIU Yunjun, NONG Qingshun, LI Bixiong

“…PE fibers formed a three-dimensional network structure in the matrix, enhancing the crack-bridging ability. …”
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IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

“…Methods The system architecture adopts the IoT layer including physical layer, network layer, and application layer. Device validation is conducted by involving six participants to measure the real‐time data of heart‐rate, oxygen saturation, and body temperature, then analysed by mean average percentage error (MAPE) to define error rate. …”
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Evaluation of the practical application of the category-imbalanced myeloid cell classification model. by Zhigang Hu, Aoru Ge, Xinzheng Wang, Cuisi Ou, Shen Wang, Junwen Wang

“…During the evaluation of Loss function and attention mechanism, the Cost-Sensitive Loss Function (CS) and the channel attention mechanism Squeeze-and-Excitation Networks (SE) demonstrated superior performance. The optimal model (RegNetX-3.2gf + CS + SE) achieved an average precision of 68.183%, an average recall of 63.722%, and an average F1 Score of 65.155%. …”
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Normalized Difference Red-Edge Estimation With Modified DiscoGAN Model by Hyeon-Beom Choi, Kwon-Hee Han, Jeongwook Seo

“…Therefore, in this paper, we propose an NDRE estimation method using the RE images generated from the RGB images by a modified Discover Cross-Domain Relations with Generative Adversarial Networks (DiscoGAN) model. The modified DiscoGAN model was designed by adding some input and hidden layers in generators and discriminators of the original DiscoGAN model to ingest the RGB images with <inline-formula> <tex-math notation="LaTeX">$256 \times 256 \times 3$ </tex-math></inline-formula> dimension and improve the average Normalized Mean Square Error (NMSE) performance. …”
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Artificial Intelligence in the Oil and Gas Industry: Applications, Challenges, and Future Directions by Marcelo dos Santos Póvoas, Jéssica Freire Moreira, Severino Virgínio Martins Neto, Carlos Antonio da Silva Carvalho, Bruno Santos Cezario, André Luís Azevedo Guedes, Gilson Brito Alves Lima

“…In the second step, the research focused on the OnePetro database, widely used by the oil industry, selecting articles with terms associated with production and drilling, such as “production system”, “hydrate formation”, “machine learning”, “real-time”, and “neural network”. The results highlight the transformative impact of AI on production operations, with key applications including optimizing operations through real-time data analysis, predictive maintenance to anticipate failures, advanced reservoir management through improved modeling, image and video analysis for continuous equipment monitoring, and enhanced safety through immediate risk detection. …”
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Enhancing wheat flour origin traceability by using laser-induced breakdown spectroscopy and Raman spectroscopy by Minghui Gu, Chao Liu, Hansong Huang, Xin Zhang, Jiguo Li, Qingbin Jiao, Liang Xu, Mingyu Yang, Xin Tan

“…A 2D Convolutional Neural Network (2D CNN) based on feature selection was proposed for origin classification. …”
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