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1

MĂRGINEANU, Elena. "Protecţia juridică a resurselor acvatice din ecosistemele naturale din Republica Moldova." Studii Juridice Universitare, no. 3-4 2020 (December 28, 2020): 182–99. https://doi.org/10.5281/zenodo.4608340.

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<strong>Legal Protection of Aquatic Resources in Natural Ecosystems in the Republic of Moldova</strong> The purpose of this article is to outline the complexity of water resources issue within environmental law. It has been analysed that public policies encourage implementation of water management plans and activities directed toward maintainance the water quality to the international standards. In the same time, it is observed gabs in the enforcement process, as the complexity of elements within water sector require each a separate attention in terms of legal protection, and in this line of i
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Mircea, GLADCHI. "MANIFESTAREA RAȚIONALĂ A ATRIBUTELOR DREPTULUI DE PROPRIETATE ÎN RAPORT CU OBIECTUL DREPTULUI MEDIULUI." STUDIA UNIVERSITATIS MOLDAVIAE Științe Juridice, no. 11(01) (2021): 195–99. https://doi.org/10.5281/zenodo.5795976.

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Articolul prezintă conceptualizarea reflectării atributelor dreptului de proprietate asupra obiectelor de mediu ce pot fi și obiectele dreptului de proprietate. Limitarea atributelor dreptului de proprietate pentru a conserva și reduce exploa&shy;tarea resurselor naturale este vitală pentru posibilitatea aplicării conceptului de drept de proprietate pentru aceste obiecte specifice. Respectiv, aici vor fi analizate formele de limitare a acestor atribute și cum sunt ele manifestate prin prisma legislației și conceptualizate &icirc;n doctrină. Sunt predispuse acele rigori de utilizare a resurselo
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Halici, Medeea, Richard Rimoli, and Laura Bouriaud. "Înțelegerea relației complexe dintre societate și mediu prin intermediul serviciilor ecosistemice forestiere: o revizuire sistematică a literaturii de specialitate." Bucovina Forestiera 24, no. 2 (2024): 165–76. https://doi.org/10.4316/bf.2024.015.

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Este bine cunoscut faptul că între societate și mediu există o relație complexă, iar pentru a înțelege și cuantifica această conexiune a fost introdus conceptul de servicii ecosistemice (ES). Implicarea acestui instrument facilitează explorarea și înțelegerea diverselor beneficii oferite în mod direct sau indirect de ES asupra populației. În special, serviciile ecosistemice forestiere (FES) dețin un rol semnificativ în menținerea unui echilibru între natură și societate, deoarece intervin în conservarea biodiversității, susținerea mediului și asigurarea unei calități superioare a vieții. Astfe
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DUMITRU, Ilie Răsvan. "DETERMINĂRI ECONOMICE ALE RĂZBOIULUI HIBRID CARE A URMĂRIT DEZINDUSTRIALIZAREA FORȚATĂ A ROMÂNIEI." Buletinul Universității Naționale de Apărare „Carol I” 11, no. 3 (2022): 64–77. http://dx.doi.org/10.53477/2065-8281-22-80.

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Procesul de dezindustrializare a României, aplicat metodic și insistent după anii `90, pare a nu se integra parcursului firesc spre industria 4.0, ci mai degrabă pare a fi un proces sistematic de distrugere planificată și de radiere a industriei postdecembriste, pe sistemul unui nou plan Valev, conceput în laboratoarele secrete ale artizanilor noii configurații mondiale. Insistența cu care s-a procedat la demolarea sistematică și planificată a majorității capacităților și platformelor industriale mari trădează interese obscure, care nu mai pot fi plasate sub umbrela catalogării lor ca învechit
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Anastasia, BOLDESCU. "OBIECTUL JURIDIC GENERIC AL INFRACȚIUNII DE VÂNAT ILEGAL." STUDIA UNIVERSITATIS MOLDAVIAE Științe Sociale, no. 3(153) (2022): 167–77. https://doi.org/10.5281/zenodo.6565421.

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&Icirc;n alin.(1) art.2 din Codul penal al Republicii Moldova, printre valorile sociale, care compun ordinea de drept, este specificat mediul &icirc;nconjurător. Totuși, art.233 din Codul penal al Republicii Moldova este amplasat &icirc;ntr-un capitol a cărui denumire este nu &bdquo;Infracțiuni &icirc;mpotriva mediului &icirc;nconjurător&rdquo;, ci &bdquo;Infracțiuni ecologice&rdquo;. &Icirc;n aceste condiții, nu este clar care valori și relații sociale formează obiectul juridic generic al infracțiunii prevăzute la art.233 din Codul penal al Republicii Moldova. Se demonstrează că nu ecologia r
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Simović, Miodrag, and Marina Simović. "The prevention of natural catastrophes and the protection of natural resources." Glasnik Advokatske komore Vojvodine 94, no. 3 (2022): 909–62. http://dx.doi.org/10.5937/gakv94-41058.

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Victimological measures for the prevention of crimes provide the foundation for an all-encompassing and hopefully long-lasting approach to solving the risk of the public being victimized and assist the individuals "designated" to be victims of a crime. This article deals with the question of "ecological victimization" (the damages that an individual has endured as a result of ecologically harmful activities) and predicts the role that victimologists will have to play in preventing the consequences of climate change and other ecological degradations in the future.
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Krklec, Kristina, Igor Ljubenkov, and Aleksandra Bensa. "Prirodni resursi otoka Korčule." Geoadria 16, no. 1 (2011): 3. http://dx.doi.org/10.15291/geoadria.259.

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In this paper, the authors analyse geological, geomorphological, soil, climate, hydrological and phytocenological characteristics of the Island of Korčula. The island is built of limestone and dolomite of Cretaceous age, covered with terra rossa and Quaternary sands. Morphologically, the relief of the island is characterized by interleaving of hills and fields, and indented coastline. There are a large number of soil units (calcocambisol, red, colluvium, reddish black soil, and rigoled soil of fields and terraces). The island is characterized by Csa type of climate (Mediterranean climate with
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Pawade, Premchand. "Resume Analysis System Using Natural Language Processing." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49553.

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Abstract This project develops a resume analysis system using Natural Language Processing (NLP) to streamline hiring. Companies often receive large volumes of resumes, making it challenging to identify the best candidates quickly. Manually screening resumes is time-consuming, can be inconsistent, and may overlook key details. By automating this process with NLP, our system reads and evaluates resumes efficiently. It extracts key information like skills, experience, and education to match candidates to job requirements. For example, if a job requires a specific skill, the system can highlight c
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Narančić-Joveljić, Branislava, and Anka Bulatović. "Examining the impact of natural and cultural resources on tourism performance." Bastina, no. 58 (2022): 207–21. http://dx.doi.org/10.5937/bastina32-41561.

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Tourism is very important for the development of the country. In order to develop, every country must invest in tourism and use its resources to attract tourists. This research took into account how natural and cultural resources influence the improvement of tourism performance. On that occasion, it was observed what influence the rate of economic growth has on the relationship between natural and cultural resources and the performance of tourism. Therefore, regression analysis was used with the mediator gross social product, which represents economic growth. The results showed that three out
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Rasal, Pratham. "Resume Parser Analysis Using Machine Learning and Natural Language Processing." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2840–44. http://dx.doi.org/10.22214/ijraset.2023.52202.

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Abstract: With the rise of online job application processes, submitting a resume has become easier than ever before. As a result, a larger number of individuals are impacted by this change. Many organizations still accept resumes by mail, which can cause challenges for their human resources departments. Sorting through a large number of applications to find the most suitable candidates can be a time-consuming process for these agencies. Job applicants submit resumes in a wide range of formats, including various fonts, font sizes, colors, and other design elements. Human resources departments a
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Ristić, Vladimir, Olga Mirković-Isaeva, and Bojana Vasić. "Management of natural wealth: Resources curse and socio-economic development." Industrija 46, no. 2 (2018): 131–50. http://dx.doi.org/10.5937/industrija46-17194.

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Trišić, Igor. "Natural resources for the nature-based tourism development of the Vojvodina Province." Menadzment u hotelijerstvu i turizmu 8, no. 2 (2020): 101–12. http://dx.doi.org/10.5937/menhottur2002101t.

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The area of the Autonomous Province of Vojvodina has significant natural potentials for the development of nature-based tourism. The paper analyzes the data found in various articles as well as data obtained hands-on. Selected factors such as location, relief, climate, hydrography, flora and fauna and protected areas of Vojvodina were analyzed. The degree of presence of the mentioned factors for the development of nature-based tourism was determined with selected indicators. The medium and high level of the presence of factors indicates the possibility of developing ecotourism, scientific tour
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Spasojević, Branka, and Slava Ivanović-Milenković. "Biomass as a resource in production of green energy." Bastina, no. 56 (2022): 295–303. http://dx.doi.org/10.5937/bastina32-36909.

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Business decisions of multinational companies and local entrepreneurs aimed at making a profit, as well as irresponsible behavior of the entire society are one of the causes of environmental degradation. Irresponsible behavior leads to a high level of environmental pollution which is reflected today in many aspects of human life. Namely, the use of technologies and materials harmful to human health and the environment, but also the excessive use of natural resources leaves traces on the conditions and quality of life, of present and future generations. Increased use of resources whose existenc
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Boddu, Sai Tarun, Sujeeth Desu, and Sreekanth Puli. "RESUME SUMMARIZER AND JOB DESCRIPTION MATCHER USING NATURAL LANGUAGE PROCESSING AND SPACY." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem26647.

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In the HR recruitment process, one pivotal stage is "Summarizing &amp; Screening." At this juncture, recruiters grapple with the laborious task of manually sifting through a myriad of resumes to shortlist suitable candidates. This project aims to streamline and automate this process using two innovative tools. Firstly, the "Resume Summarizer" leverages advanced natural language processing techniques to swiftly extract pertinent details from candidates' resumes, offering a concise summary that underscores their skills, experience, and qualifications. This summary can be tailored to match specif
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Anand, Avisha, and Mr Sandeep Dubey. "CV Analysis Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1316–22. http://dx.doi.org/10.22214/ijraset.2022.42295.

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Abstract: Recruitment is a tiresome process wherein the very first task of a recruiter is to screen resumes (Curriculum Vitae). Nowadays, many companies prefer online job application in comparison to paper resumes. The proposed system is designed in such a way that applying for job openings &amp; screening could be made easy for job applicants as well as the recruiters. The recruiters from the various companies can post their requirements for particular job openings available in their respective companies and on the other hand will allow the job applicants to submit their resumes and apply for
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16

Avramović, Danijela, and Aleksandra Ilić-Petković. "The legislative measures on natural resources protection and conservation in Serbian national parks." Zastita prirode 68, no. 1-2 (2018): 77–87. http://dx.doi.org/10.5937/zaspri1802077a.

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17

Tomić, Miloš, and Dušan Kesić. "Eco-Marxism and the politics of natural resource extractivism: The case of South America." Socioloski pregled 59, no. 2 (2025): 529–57. https://doi.org/10.5937/socpreg59-56439.

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The paper analyzes the theoretical positions of eco-Marxism with a special focus on the current policy of extractivism of natural resources localized in the territory of South American countries. The aim of the research is an attempt to identify and systematically describe the capitalist exploitation of human labour and a series of environmental problems that arise as a consequence of the exploitation of nature. A complementary methodological approach was applied that includes actor analysis and desk analysis. The research results indicate that Latin American countries are increasingly becomin
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Miladinović, Jegor, Vojislav Mihailović, Vuk Đorđević, et al. "The importance of legume genetic resources for breeding." Ratarstvo i povrtarstvo 58, no. 3 (2021): 94–103. http://dx.doi.org/10.5937/ratpov58-34802.

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This paper presents the plant genetic resources maintained by the Center of Excellence for Legumes of the Institute of Field and Vegetable Crops, National Institute of the Republic of Serbia. The genetic resources of legumes (soybean, alfalfa, red clover, pea and vetch) are an invaluable source material and a rich source of genetic divergence for the development of varieties adapted to specific agricultural and environmental conditions. Soybean is the most important of all cultivated legumes and occupies the largest area under cultivation. The alfalfa collection consists of over 800 genotypes
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Ferrari, Franco. "Natura e costrizione nel paragone della caverna." ΠΗΓΗ/FONS 2, no. 1 (2017): 123. http://dx.doi.org/10.20318/fons.2017.3464.

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Riassunto: Con il mito della caverna, Platone riprende uno dei motivi centrali del VI libro della Repubblica, ossia i pericoli ai quali si espongono le nature filosofiche se alle loro qualità naturali non viene affiancato un corretto percorso educativo. Con la liberazione dei prigionieri dalla caverna Platone rappresenta la volontà di preservare il “filosofo naturale” dai rischi ai quali lo espone il contatto con le dinamiche sociali e politiche della città malata; soltanto la costrizione educativa permette che il processo di liberazione sia interamente positivo.Parole chiave: mito della caver
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Vujko, Aleksandra, Marko Petrović, and Marina Dobić. "Natural and anthropogenic resources as the initiators of tourism development: Stari Slankamen case study." Megatrend revija 16, no. 2 (2019): 3–20. http://dx.doi.org/10.5937/megrev1902003v.

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Luka, Strezoski, Babic Zorana, and Milojicic Dejan. "Cyber Physical Security of Distributed Energy Resources." Energija, ekonomija, ekologija XXV, no. 4 (2023): 1–9. http://dx.doi.org/10.46793/eee23-4.01s.

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Huge amounts of data are coming from the electrical grid, through smart meters, smart inverters, and Supervisory Control and Data Acquisition (SCADA) protocols. This makes emerging power systems, and especially distribution grids, heavily dependent on real-time data from the field, as well as on the IT infrastructure for observation and control of field devices. As a consequence, emerging electrical systems are becoming fully digitized, cyber-physical systems with all the accompanying advantages and challenges. Such a power system is called a “Smart Grid”. As all cyber-physical systems, Smart
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Tomić, Miloš. "Natural resources as indicators of environmental safety: Situation and perspectives of the Republic of Serbia." Годишњак Факултета безбедности, no. 1 (2022): 369–84. http://dx.doi.org/10.5937/fb_godisnjak0-37641.

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The ubiquitous trend of intensive exploitation of natural resources at the national and global level can cause a series of environmental, political and social disturbances. The need for a healthy environment, on the one hand, and the improvement of people's living standards in the 21st century, on the other, are often incompatible despite the constant formal emphasis on the term or dissonant interpretation of the importance of the concept of sustainable development. In the theoretical sense, changes (disturbances) in the environment are the result of complex natural and social cause-and-effect
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Trnavčević, Nevena, and Damjan Bakić. "Analysis of demographic resources of the Belgrade region at the beginning of the 21st century." Demografija, no. 20 (2023): 23–42. http://dx.doi.org/10.5937/demografija2320023t.

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The intensive reduction of the labor contingent and the continuous process of demographic ageing of the labor force raises the issue of human capital development and the need to increase the level of demographic resources. For decades, Serbia has been facing negative demographic tendencies, such as long-time negative natural increase, population emigration and disruptions in demographic structures, which has caused the creation of divergent poles of development. The purpose of this research is to evaluate and more accurately analyze spatial differences in the value of the indicators of demogra
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Saprit Anand and Abhijeet Kumar Giri. "Optimizing Resume Design for ATS Compatibility: A Large Language Model Approach." International Journal on Smart & Sustainable Intelligent Computing 1, no. 2 (2024): 49–57. https://doi.org/10.63503/j.ijssic.2024.33.

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The modern hiring process increasingly relies on Application Tracking Systems (ATS) to sort and evaluate resumes based on organizational preferences. However, many skilled and competent candidates fail to craft resumes that are ATS optimized, leading to missed opportunities. This study explores the potential of Large Language Models (LLMs) to enhance ATS compatibility in resumes. Using Natural Language Processing (NLP) techniques, LLMs analyze resumes to identify errors, recommend suitable keywords, enhance semantic alignment, and format content to meet ATS requirements. Evaluation results dem
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Kavitha, D., Padmavathi B, Sushanth V, Yashwanth P, and Yuvaraj R. "Screening and Ranking Resumes using Stacked Model." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 1152–58. http://dx.doi.org/10.22214/ijraset.2023.48870.

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Abstract: Finding the top candidates for a position is the aim of the resume screening process. The application must make use of machine learning methodologies as well as natural language processing to rate candidates in real time. Natural language processing (NLP) and machine learning methods are used to rate resumes. The output would be the resume of a top candidate, with resumes and job descriptions serving as the input. The output's results are obtained instantly. String matching, Cosine Similarity, and TF-IDF will all be done with Mon. Existing systems are straightforward and efficient, b
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Atmakuri, Meghana, Kanthi Rekha Tanari, Balabadra Navya Sri, et al. "Edu Scan: Optimizing talent discovery and streamlining hiring practices using AI." Edu - Tech Enterprise 2 (December 31, 2024): 19. https://doi.org/10.71459/edutech202419.

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Edu Scan is a machine learning-driven resume parser designed to analyse student resumes and predict their alignment with a benchmark document. The benchmark is created by aggregating key features and skills from resumes of students who have secured high-paying placements across various reputed universities. By utilizing Natural Language Processing mechanism, Edu Scan compares student resumes against this benchmark to assess familiarity and relevance. The system evaluates keyword matches, generates an accuracy score for each resume, and provides tailored suggestions for improvement. This innova
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Raičević, Đoko, Miloš Marjanović, and Vladimir Đorđević. "Natural resources and regional development: Case study of the Gornje Polimlje region in Montenegro." Ekonomika 67, no. 1 (2021): 91–103. http://dx.doi.org/10.5937/ekonomika2101091r.

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The Gornje Polimlje has all characteristics of the geographical region, which some of the areas, or just part of them, left many author's works of impassable value. The northeastern part of Montenegro possesses, in qualitative and quantitative aspects, an enormous wealth of natural values. It was unexpectedly and unacceptably economically neglected in the last fifty years in Montenegro's development. The paper aims to present the natural resources of the Gornje Polimlje region and the way of their valorization in the function of equal development of this region. Tourism is seen as an activity
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Jukić, Marijan. "Rijeka Sava kao resurs u prostornom planiranju." Geoadria 13, no. 1 (2017): 81. http://dx.doi.org/10.15291/geoadria.568.

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From the spatial planning aspect the river Sava is the meeting area of numerous spatial, natural and economic determinants. Appropriate and purposeful planning has an inestimable importance due to the fact that it is the only way for the rational utilization of the river basin. It should be emphasized that rational utilization also includes the overall protection of mentioned area. Special attention should be dedicated to the problem of defining spatial plan borders, because of the specific characteristics of the area. Namely,current spatial plans of the river Sava basin are outlined in a way
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Kumar, Sumit. "AI-Driven Resume Ranking Ensuring Fair and Efficient Hiring Decision." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47983.

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ABSTRACT AI-driven Resume Ranking helps companies deal with the huge number of resumes they receive. The usual way of going through resumes takes a lot of time and can often be unfair. This project focuses on building a machine learning model that can automatically read, sort, and rank resumes using natural language processing (NLP). It pulls out important details like education, work experience, skills, and qualifications using techniques like Named Entity Recognition (NER) and TF-IDF Term Frequency-Inverse Document Frequency. By doing this, the system makes hiring faster, reduces bias, cuts
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Aade, Ritesh. "Resume QR Generator (The helper AI)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem41026.

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This research paper is about to job seekers The AI Resume Analyzer is a tool that uses Natural Language Processing (NLP) to make the hiring process faster and easier. In today's job market, companies receive a large number of resumes, making it difficult and timeconsuming to find the best candidates. This AI-based system solves this problem by automatically reviewing and ranking resumes, saving time and effort for employers.The tool works by extracting text from resumes, no matter the format—PDF, Word, or plain text. Using NLP, it identifies and organizes important details such as contact info
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Trajković, Nada. "Natural and cultural resources as factors of competitiveness and strengthening the performance of the tourism sector." Turisticko poslovanje, no. 23 (2019): 5–15. http://dx.doi.org/10.5937/turpos0-21831.

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Todić, Dragoljub. "Natural resources in international treaties: From the sovereign rights of states to the common concern of humankind." Strani pravni zivot, no. 3 (2021): 391–405. http://dx.doi.org/10.5937/spz65-32847.

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The paper points out the importance of natural resources and discusses their international legal protection. It analyses the UN deposited international agreements in the field of environment as well as the views of various authors. In specific, relations of the international agreements with the principle of permanent sovereignty of states over natural resources ("principle") and the concept of ,,common concern of humankind" (,,concept") is explored. The aim of the paper is to identify relevant international agreements, determine how they relate to ,,natural resources" and assess the content of
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Krempa, N. U., O. V. Kozenko, and N. V. Chornyi. "Hygienic assessment of water quality and its impact on the body of pigs." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 22, no. 98 (2020): 9–15. http://dx.doi.org/10.32718/nvlvet9802.

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The results of research on the overall impact of drinking water quality, microclimate parameters and adopted in the farms of FE PE “Hlyniany Agro” and LLC “Miasni Resursy” options for growing weaned young (single- and three-phase) on morphological and biochemical parameters of blood, the level of natural resistance and their growth indicates that single-phase cultivation is more favorable for the growth and development of young animals. This is confirmed by the live weight of animals at birth and at the age of 120 days. Thus, in the case of single-phase cultivation of FE PE “Glynyany Agro” the
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Borțun, Dumitru. "Rolul limbilor naturale în geneza identităţilor naţionale. Limba română ca resursă semiotică în construirea identităţii culturale." Analele Universităţii "Dunărea de Jos" din Galaţi. Fascicula XXIV Lexic comun / lexic specializat 20, no. 1 (2018): 104–18. http://dx.doi.org/10.35219/lcls.2018.1.06.

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Ali, Irfan, Nimra Mughal, Zahid Hussain Khan, Javed Ahmed, and Ghulam Mujtaba. "Resume Classification System using Natural Language Processing and Machine Learning Techniques." Mehran University Research Journal of Engineering and Technology 41, no. 1 (2022): 65–79. http://dx.doi.org/10.22581/muet1982.2201.07.

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The selection of a suitable job applicant from the pool of thousands applications is often daunting job for an employer. The categorization of job applications submitted in form of Resumes against available vacancy(s) takes significant time and efforts of an employer. Thus, Resume Classification System (RCS) using the Natural Language Processing (NLP) and Machine Learning (ML) techniques could automate this tedious process. Moreover, the automation of this process can significantly expedite and transparent the applicants’ screening process with mere human involvement. This experimental study p
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Vučković, Jovo, and Snežana Trmčić. "STRATEGIC DEVELOPMENT OF WINTER TOURISM - THE POSSIBILITY OF USE OF NATURAL RESOURCES AND ENOGASTRONOMY IN RURAL AREAS." FBIM Transactions 4, no. 1 (2016): 123–30. http://dx.doi.org/10.12709/fbim.04.04.01.15.

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37

Natalia, CIUBUC, and MANIC Gheorghe. "OBIECTIVELE DE MANAGEMENT ÎN CADRUL ARIILOR PROTEJATE CA ASPECT AL TURISMULUI DURABIL." STUDIA UNIVERSITATIS MOLDAVIAE Științe Reale și ale Naturii, no. 6(156) (2022): 114–20. https://doi.org/10.5281/zenodo.7442693.

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Ariile protejate reprezintă o resursă importantă pentru protecția unui spectru larg de valori naturale unice. &Icirc;n același timp, pe piața turistică se observă o cerere sporită pentru un turism durabil, orientat spre vizite &icirc;n zone naturale nealterate, ce implică și ariile protejate ca exemplu de astfel de zone. Pentru a realiza o simbioză &icirc;ntre protecția și utilizarea turistică a ariilor protejate, ar trebui abordate anumite obiective de management, bazate pe clasificarea UICN. &Icirc;n lucrarea de față sunt examinate problemele legate de aplicarea categoriilor de arii protejat
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Mohanan, Martin, Poorva Belwal, Samit Kapoor, Satya Sharma, and Mrs Kirti Kushwah. "Revolutionizing Career Advancement: A Comprehensive Research on a Resume Builder Application." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 2763–68. http://dx.doi.org/10.22214/ijraset.2024.60511.

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Abstract: This abstract describes a modern Resume Builder Application that serves both job seekers and recruiters. It provides a comprehensive platform for producing, assessing, and matching resumes.The Resume Builder Application uses advanced natural language processing and machine learning to help users create personalized and visually appealing resumes. The userfriendly design provides a smooth experience by emphasizing significant abilities, experiences, and achievements. The application provides dynamic templates and content optimization features to guarantee resumes meet industry standar
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Karhale, Prof Shivani. "Resume Analysis System Using Natural Language Processing." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49872.

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Abstract : In the era of digital recruitment, organizations face the challenge of processing thousands of resumes efficiently and accurately. Manual resume screening is not only time-consuming but also prone to human error and bias. To address these issues, this project presents a Resume Analysis System using Natural Language Processing (NLP), which automates the process of analyzing and filtering resumes based on job requirements. The system leverages advanced NLP techniques such as tokenization, part-of-speech tagging, named entity recognition, and TF-IDF (Term Frequency-Inverse Document Fre
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Dr. J. JayaPriya, Mouleeswaran R, Kishore T, Praveen G, and Arjun N. "Smart AI Resume Analyzer." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 3 (2025): 879–83. https://doi.org/10.32628/ijsrset2512147.

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In today’s technology-driven recruitment ecosystem, job seekers face increasing challenges due to the widespread use of Applicant Tracking Systems (ATS) by employers. These systems filter out resumes that do not meet specific formatting or keyword criteria, often discarding qualified candidates in the process. The Smart AI Resume Analyzer is an innovative solution developed to bridge this gap by providing an intelligent platform that evaluates and enhances resumes using Natural Language Processing (NLP) and machine learning. The platform performs real-time scoring of resumes based on keyword r
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CHARAN, KONKI, and RONGALA RAJESH. "Automated Resume Screening Using Machine Learning." International Scientific Journal of Engineering and Management 04, no. 07 (2025): 1–9. https://doi.org/10.55041/isjem04860.

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The exponential growth of digital job applications has posed significant challenges for recruiters, who often face the daunting task of manually screening thousands of resumes to identify suitable candidates. This research addresses these challenges by proposing an automated resume classification system leveraging Natural Language Processing (NLP) and machine learning techniques. The proposed system integrates comprehensive text preprocessing, feature extraction using Term Frequency–Inverse Document Frequency (TF-IDF), and a One-vs-Rest K-Nearest Neighbors (KNN) classifier to categorize resume
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42

Panasenko, N. D., and N. S. Motuz. "Detection of water surface natural objects based on the satellite sensing data." Journal of Physics: Conference Series 2131, no. 3 (2021): 032053. http://dx.doi.org/10.1088/1742-6596/2131/3/032053.

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Abstract The article shows an application of satellite sensing data method in geoenvironmental monitoring of water surface. It is expected to apply combination of LBP and neural network approaches for detection and identification objects of natural and anthropogenic origin. The applying of satellite images, the implementation and operation of the filtration method and satellite sensing data assimilation in real or near-real time are considered to detect the blooming areas and their coordinates. The research demonstrates the need and possibility to apply neural approach and the theory of deep l
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Oday, Oday, Rajaa Mrayeh Mohammed, Nishtha Jatana, Charu Gupta, Oday Ali Hassen, and Shweta Jindal. "A New Automated System Approach to Detect Digital Forensics using Natural Language Processing to Recommend Jobs and Courses." Journal of Cybersecurity and Information Management 16, no. 1 (2025): 231–42. https://doi.org/10.54216/jcim.160116.

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A resume is the first impression between you and a potential employer. Therefore, the importance of a resume can never be underestimated. Selecting the right candidates for a job within a company can be a daunting task for recruiters when they have to review hundreds of resumes. To reduce time and effort, we can use NLTK and Natural Language Processing (NLP) techniques to extract essential data from a resume. NLTK is a free, open source, community-driven project and the leading platform for building Python programs to work with human language data. To select the best resume according to the co
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Kulkarni, Anish. "Advancing Job Search: A Comprehensive Resume-Based Job Recommendation System Using NLP and Deep Learning Techniques." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 1054–58. http://dx.doi.org/10.22214/ijraset.2024.58505.

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Abstract: Students find it difficult to find jobs and postings related to their skills and which has a good pay. Students aimlessly scan all internet to find a job which best matches their skill. Hence this paper presents a model which would give them personalized recommendations based on their skills mentioned in the resume. In today’s world hundreds of people apply for a single job posting. Companies receive thousands of applications at any given time. To save time companies, recruiters have few seconds to go through the applicant’s resume. Moreover, today all companies use a software based
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Skondras, Panagiotis, Panagiotis Zervas, and Giannis Tzimas. "Generating Synthetic Resume Data with Large Language Models for Enhanced Job Description Classification." Future Internet 15, no. 11 (2023): 363. http://dx.doi.org/10.3390/fi15110363.

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In this article, we investigate the potential of synthetic resumes as a means for the rapid generation of training data and their effectiveness in data augmentation, especially in categories marked by sparse samples. The widespread implementation of machine learning algorithms in natural language processing (NLP) has notably streamlined the resume classification process, delivering time and cost efficiencies for hiring organizations. However, the performance of these algorithms depends on the abundance of training data. While selecting the right model architecture is essential, it is also cruc
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Samruddhi, Farsole Sagar Darne Kunal Barahate Vaishnavi Bhute Rhutik Khode Minal Pazare Prof. R. V. Chaudhari. "Modern Real - Time Resume Analysis and Job Suggestion System Using NLP and Machine Learning Algorithm." International Journal of Advanced Innovative Technology in Engineering 10, no. 2 (2025): 134–37. https://doi.org/10.5281/zenodo.15422895.

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This paper is about in today's highly competitive job market job seekers face significant challenges in optimizing their resumes to pass Applicant Tracking Systems (ATS) and align with job requirements. Many resumes are rejected due to missing keywords, improper formatting, or a lack of ATS-friendly structures, making it difficult for qualified candidates to secure interviews. To address this issue, we present an AI-powered resume analysis system that enhances job matching efficiency by leveraging natural language processing (NLP) and machine learning. This system extracts key skills, qualific
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Jafari, Faizan Ali. "Automated Resume Screening System Using NLP and Machine Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48082.

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Abstract—Modern recruitment struggles with the inefficiencies of manual resume screening, a process often slow, error-prone, and biased. We present an AI-powered system that integrates natural language processing (NLP) and machine learning (ML) with a MERN stack platform to automate resume extraction, analysis, and ranking. Using a dataset of resumes from diverse sources, we employed advanced NLP techniques—such as named entity recognition—and ML models like logistic regression and random forests to rank candidates efficiently. Integrated with a scalable MERN stack, the system offers recruiter
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Prakash, Sakshi,. "Resume Analysis Using Machine Learning and Natural Language Processing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31638.

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The recent recruitment process has changed from manually to computerized. The majority of resume analysis is carried out utilizing Natural Language Processing and Machine learning. It deals with selecting the best candidates from an enormous pool of applicants who have the necessary skills for a certain job description.By leveraging these NLP capabilities provided by NLTK, resume analysis systems can automate the extraction, classification, and evaluation of information from resumes, enabling recruiters to efficiently screen and evaluate candidates based on their qualifications, skills, experi
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Sinha, Arvind Kumar, Md Amir Khusru Akhtar, and Mohit Kumar. "Break Down Resumes into Sections to Extract Data and Perform Text Analysis using Python." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 6s (2023): 391–400. http://dx.doi.org/10.17762/ijritcc.v11i6s.6945.

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The objective of AI-based resume screening is to automate the screening process, and text, keyword, and named entity recognition extraction are critical. This paper discusses segmenting resumes in order to extract data and perform text analysis. The raw CV file has been imported, and the resume data cleaned to remove extra spaces, punctuation and stop words. To extract names from resumes, regular expressions are used. We have also used the spaCy library which is considered the most accurate natural language processing library. It includes already-trained models for entity recognition, parsing,
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Barros, Carlos. "El concepto marxista de nación." Cadernos do Tempo Presente 11, no. 02 (2020): 27–35. http://dx.doi.org/10.33662/ctp.v11i02.15007.

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Recebido: 18/06/2019 &#x0D; Aprovado: 10/08/2019&#x0D; El “problema nacional” resurge en el siglo XXI con gran fuerza y mayor complejidad: nacionalidades de origen medieval, Estados-nación modernos y contemporáneos, fenómenos actuales de agregación global (Europa, mundialización). Abordamos metodológicamente el tema echando mano de los clásicos del materialismo histórico, a partir del olvidado concepto de “condiciones de producción” (económicas, naturales e históricas) y sus aplicaciones a los hechos nacionales tratados por Marx y Engels en el siglo XIX.&#x0D; Palabras Clave: Identidad, histor
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