Loretta Ichim

• PhD
• Professor at Universitatea Națională de Știință și Tehnologie Politehnica București

The invasive insect brown marmorated stink bug (BMSB) is an emerging pest of global importance, as it is destroying fruits and seeds, having caused estimated damages of € 588 million to crops in 2019 in Northern Italy alone. An open challenge is to improve monitoring of BMSB in order to be able to deploy countermeasures more efficiently and to incr...

Ovarian tumors, especially malignant ones, represent a global concern, with increased prevalence in recent years. More accurate medical support systems are urgently needed to support medical staff in obtaining an efficient ovarian tumors diagnosis since detection in early stages could lead to immediately applying appropriate treatment, and implicit...

In this article, we introduce machine learning (ML) techniques developed for the monitoring of the brown marmorated stink bug (BMSB), a significant agricultural pest responsible for considerable crop damage worldwide. The Haly.ID project, initiated in early 2021, aims to enhance BMSB monitoring through the utilization of information and communica...

Ovarian cancer (OC) is one of the most common types of cancer in women. Surgery and chemotherapy are still the most common forms of treatment; however, their success depends on lots of factors describing the type of cancer, the size, shape, and its origin, and thus early and accurate detection could bring lots of benefits to increasing survival rat...

Orchard monitoring is a vital direction of scientific research and practical application for increasing fruit production in ecological conditions. Recently, due to the development of technology and the decrease in equipment cost, the use of unmanned aerial vehicles and artificial intelligence algorithms for image acquisition and processing has achi...

Modern and precision agriculture is constantly evolving, and the use of technology has become a critical factor in improving crop yields and protecting plants from harmful insects and pests. The use of neural networks is emerging as a new trend in modern agriculture that enables machines to learn and recognize patterns in data. In recent years, res...

Simple Summary Due to various causes, such as the thinning of the ozone layer, climate change, or the fashion for artificial tanning, the incidence of skin cancer has increased recently. Early detection of cancerous skin lesions is the only chance to prevent dangerous developments. This paper proposes two models of support systems for the detection...

Halyomorpha Halys, commonly known as the brown marmorated stink bug, is an invasive insect that causes significant damage in orchards. Neural networks have the potential to improve insect pest detection and classification in modern agriculture, which can lead to better pest management. The detection of these insects in orchards using drones imposes...

Ovarian tumors affect women of all ages and the main challenge for optimal therapeutic management is to determine whether there is a benign or malignant tumor. The main imagistic tool for the evaluation of ovarian tumors is pelvic ultrasonography. To support the diagnosis of clinicians several artificial intelligence applications and ultrasound com...

Given its essential role in body functions, liver cancer is the third most common cause of death from cancer, despite being the sixth most common type of cancer worldwide. Following advancements in medicine and image processing, medical image segmentation methods are receiving a great deal of attention. As a novelty, the paper proposes an intellige...

Skin lesion detection and analysis are very important because skin cancer must be found in its early stages and treated immediately. Once installed in the body, skin cancer can easily spread to other body parts. Early detection would represent a very important aspect since, by ensuring correct treatment, it could be curable. Thus, by taking all the...

Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease today. The high mortality rate associated with melanoma makes it necessary to detect the early stages to be treated urgently and properly. This is the reason why many researchers in this domain wanted to obtain accurate computer-aided diagnosis system...

The artificial intelligence and, in particular, the artificial neural networks proved to be useful tools in the field of computer vision, with promising results of applications in various domains, such as: industry, agriculture, medicine, transport, and environment. Detecting and locating crops using images received from aerial robots can make a po...

Different retina diseases require laser treatment that is applied on retina images. For example, the treatment uses laser activation applied on the retina on different points. In this case, the treatment uses only a part of the fundus image, named retina treatment image. The scope of the paper is to combine all the retina treatment images in order...

The detection and evaluation of flood damage in rural zones are of great importance for farmers, local authorities, and insurance companies. To this end, the paper proposes an efficient system based on five neural networks to assess the degree of flooding and the remaining vegetation. After a previous analysis the following neural networks were sel...

The main purpose of the study was to develop a high accuracy system able to diagnose skin lesions using deep learning–based methods. We propose a new decision system based on multiple classifiers like neural networks and feature–based methods. Each classifier (method) gives the final decision system a certain weight, depending on the calculated acc...

The growing need for food worldwide requires the development of a high-performance, high-productivity, and sustainable agriculture, which implies the introduction of new technologies into monitoring activities related to control and decision-making. In this regard, this paper presents a hierarchical structure based on the collaboration between unma...

Network-embedded systems equipped with monitoring, computing and communication features, enable the development of custom applications suitable for today requirements. These are the components of the Internet of Things (IoT) paradigm, characterized by functional and geographic decentralization. Traditional architectures through which data is collec...

Melanoma is a common form of skin cancer that dangerously affects many people around the world. Detection of melanoma with the naked eye by dermatologists may be subject to errors. Therefore, the implementation of image processing devices equipped with artificial intelligence can act as a support for the dermatologist in examination and decision ma...

The flood detection and damage evaluation in precision agriculture are of great interest nowadays. The paper proposes the simultaneously detection and evaluation of small regions affected by non-severe flooding and, also, small regions with vegetation in county areas. The images are taken by a UAV team in a photogrammetry mission. As novelty, the p...

Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large scale monitoring. Main advances stemming both from complex system architectures as well as powerful embedded computing and communication platforms, advanced sensing and network...

The purpose of this paper is to illustrate the vulnerabilities found through the studies, mainly through the Methods of preventing an attack of a Smart Grid. Having a contingency plan of attacks is not something complex and should be part of everyday business, it’s wrong to think that answering a security incident only happens in cases of mega atta...

Large scale monitoring systems, enabled by the emergence of networked embedded sensing devices, offer the opportunity of fine grained online spatio-temporal collection, communication and analysis of physical parameters. Various applications have been proposed and validated so far for environmental monitoring, security and industrial control systems...

The paper presents two methods for automatic identification of skin cancer in forms of melanoma. In the first method we design a Neural Network that help us to classify the skin lesions. The design of the Neural Network is discussed by analyzing the performance of the training process of the network and the number of target classes. The sensitivity...

The paper presents an innovative design for wireless sensor networks (WSNs) which can increase their performances in the precision agriculture (PA). The authors argue on the reasons why presently WSNs are not integrated in PA on a larger scale. To this end, the paper describes the state of art in WSNs used in PA, and develops the proposed solution...

Large-scale monitoring systems have seen rapid development in recent years. Wireless sensor networks (WSN), composed of thousands of sensing, computing and communication nodes, form the backbone of such systems. Integration with unmanned aerial vehicles (UAVs) leads to increased monitoring area and to better overall performance. This paper presents...